{"@context":"https://schema.org","@type":"ItemList","name":"Data Scientist Jobs - Find Data Science Positions Near You","description":"Browse the latest Data Scientist job openings on our platform. Discover top companies hiring for Data Scientists and kickstart your career in Data Science today.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Data Scientist, Analytics","datePosted":"2025-08-03","description":"

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

As a Data Scientist, you will have end-to-end ownership of generating insights, developing custom models and building critical analytics products. In collaboration with a highly skilled team of engineers, data scientists, and blockchain analysts, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.

The impact you will have here:

Perform exploratory data analysis to uncover insights hidden in very large datasets and build compelling data-driven stories to support critical blockchain reports for industry leaders and global policy makers.
Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends.
Use your high-level business acumen to collaborate with our go-to-market team and work directly with our customers to understand their challenges and pain points in order to creatively translate them into impactful models and products.
Work closely with financial crime and threat analysts to identify suspicious activities, identify complex trends and generate impactful insights.
Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
You will collaborate closely with engineers, data scientists, and threats analysts to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
Establish best practices and statistical rigor around data-driven decision-making

What we’re looking for:

Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
You have 5+ years of experience working in an analytical role.
You have a strong knowledge of relational databases, (e.g. SQL)
You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance
You have experience exploring complex datasets to identify hidden insights and generate compelling stories
You have customer facing experience and you enjoy sitting with the customers to understand their challenges.
You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
You are delivery-oriented, able to lead and execute in a face-paced environment.
You have excellent verbal and written communication skills and experience in influencing decisions with information.

About the Team:

The team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration.
All team members, regardless of location must have at least 4 hour overlap with PST business hours.
The team is involved in 2 different on-calls\n
- Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
- Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)
\n

Learn about TRM Speed in this position:

Deliver a last minute impactful project for a key customer
Build complex products effectively with tight timeframes (1-2 sprints for MVP)
Work on several projects in parallel with different priorities and stakeholders

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

TRM moves fast—really fast. We know a lot of startups say that, but we mean it. We operate with urgency, ownership, and high standards. As a result, you’ll be joining a team that’s highly engaged, mission-driven, and constantly evolving.

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

We’re looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don’t worry if your experience doesn’t perfectly match a job description— we value passion, problem-solving, and unique career paths. If you’re excited about TRM’s mission, we want to hear from you.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

The impact you will have here:

Perform exploratory data analysis to uncover insights hidden in very large datasets and build compelling data-driven stories to support critical blockchain reports for industry leaders and global policy makers.
Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends.
Use your high-level business acumen to collaborate with our go-to-market team and work directly with our customers to understand their challenges and pain points in order to creatively translate them into impactful models and products.
Work closely with financial crime and threat analysts to identify suspicious activities, identify complex trends and generate impactful insights.
Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
You will collaborate closely with engineers, data scientists, and threats analysts to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
Establish best practices and statistical rigor around data-driven decision-making

What we’re looking for:

Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
You have 5+ years of experience working in an analytical role.
You have a strong knowledge of relational databases, (e.g. SQL)
You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance
You have experience exploring complex datasets to identify hidden insights and generate compelling stories
You have customer facing experience and you enjoy sitting with the customers to understand their challenges.
You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
You are delivery-oriented, able to lead and execute in a face-paced environment.
You have excellent verbal and written communication skills and experience in influencing decisions with information.

About the Team:

The team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration.
All team members, regardless of location must have at least 4 hour overlap with PST business hours.
The team is involved in 2 different on-calls\n
- Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
- Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)
\n

Learn about TRM Speed in this position:

Deliver a last minute impactful project for a key customer
Build complex products effectively with tight timeframes (1-2 sprints for MVP)
Work on several projects in parallel with different priorities and stakeholders

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of
diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation
Requires two years of experience in the following:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language: SQL
3. Scripting language: Python
4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
5. Applied statistics or experimentation, such as A/B testing, in an industry setting
6. Machine learning techniques
7. ETL (Extract, Transform, Load) processes
8. Relational databases
9. Large-scale data processing infrastructures using distributed systems
and 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,९०,२२३/year to $१,९६,९००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Data Scientist, Analytics","datePosted":"2025-08-09","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Scientist, Analytics Responsibilities

Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
Exploratory Analysis: Proposing what to build in the next roadmap, Understanding ecosystems, user behaviors, and long-term trends, Identifying new levers to help move key metrics, Building models of user behaviors for analysis or to power production systems.
Product Leadership: Influencing product teams through presentation of data-based recommendations, Communicating state of business, experiment results, etc to product teams, Spreading best practices to analytics and product teams, Leading cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, and others.
Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2 years of work experience in the job offered or in a computer-related occupation.
Requires 1 year of experience in the following:
1. Applied statistics, including causal inference and experimentation (i.e. AB testing) in an industry setting, especially for complex multi-sided ecosystems and/or low sample size environments
2. Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex dataset
3. Development in any scripting language (PHP, Python, Perl, etc.)
4. Exploratory analysis and market sizing to inform development of new product strategy
5. Communicating the results of analyses and aligning cross-functional teams to influence the strategy
6. Providing analytical support in 1+ of these backgrounds: B2B/Enterprise companies, Advertising Technology/Digital Advertising, Financial Technology, Platforms/Marketplaces, Front-end tools for business customers, Quantitative Consulting and
7. One or more of these types of analytics: Back-end quality/Performance & Reliability, Risk and Integrity, Infrastructure system design, Marketing Analytics.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$२,०९,७२०/year to $२,३५,४००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Data Scientist, Analytics","datePosted":"2025-08-12","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Scientist, Analytics Responsibilities

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Facebook products.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work
on problems of diverse scope where analysis of data requires evaluation of identifiable
factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Requires a Master’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, or a related field, and 36 months of experience in the job offered or in a related occupation
Experience must include 36 months involving the following:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language(s) including SQL
3. Scripting language(s) including Python
4. Statistical or mathematical software including R, SAS, or Matlab
5. Applied statistics or experimentation, including A/B testing in an industry setting
6. Machine learning techniques
7. ETL (Extract, Transform, Load) processes
8. Relational databases
9. Large-scale data processing infrastructures using distributed systems
10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$186,063/year to $196,900/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Data Scientist, Analytics","datePosted":"2025-08-20","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Scientist, Analytics Responsibilities

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of company products.
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
Partner with Product and
Engineering Teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
Exercise judgment within defined procedures and practices to determine appropriate action.

Minimum Qualifications

Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, or a related field and one year of work experience in the job offered or in a related occupation
Requires one year of experience in the following skills:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language(s) including SQL
3. Scripting language(s) including Python
4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
5. Machine learning techniques
6. ETL (Extract, Transform, Load) processes
7. Relational databases
8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,८३,६६०/year to $१,९६,९००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, WA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Data Scientist / Senior Data Scientist, People Analytics","datePosted":"2025-08-01","description":"

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Senior Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox’s HR data warehouse, analytical tools, and reports which support data-driven HR initiatives and are used by internal stakeholders throughout the company.

You will:

Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below.
Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership.
Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs.
Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights.

You have:

A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
4+ years of professional experience with SQL.
4+ years of statistical programming in R/Python and/or analytics engineering experience in Python
4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.)
Proven ability to execute complex and cross functional projects from ideation through completion.
Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change.
Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact.
A consistent track record to learn quickly and works well both independently as well as in a team setting.

At least two or more of the following:

2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams.
2+ years of experience in causal inference, experimental design, and statistical modeling.
2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines.

People Analytics Domains at Roblox

Talent Acquisition
Employee Performance Programs
Workforce Planning
People Data Governance
Facilities and Office Planning
HR Operations
Partnering with Internal Tooling to build people products
Building our People Datalake

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range$171,680—$225,030 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Team

Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform.

Trust & Safety is at the core of our efforts to keep Twitch a welcoming and safe place for people to build safe and inclusive communities that enable diverse, global creators to flourish. Safety is central to everything else happening on Twitch. Safer communities are empowered communities, and they create the one-of-a-kind moments, experiences, and friendships that make Twitch so special.

About the Role

As Twitch continues to grow and evolve in a dynamic policy and regulatory landscape, ensuring a safe and trusted user experience is critical. In this senior data science role on our Safety Data Science team, you'll help drive our strategy for building smarter, more automated safety operations. You’ll play a key role in shaping how we use data and technology to enhance transparency, reduce manual workflows, and protect our most at-risk users.

This is a highly collaborative and strategic role that combines deep analytical thinking with operational impact—and your work will be central to making Twitch a safer and more resilient platform. We're looking for someone who is passionate about data governance and deeply motivated to build self-service, scalable data solutions that enable teams to move faster with greater confidence.

You Will:

Tackle ambiguous, high-impact problems by defining analytical approaches grounded in statistics, computer science, and deep domain expertise—driving clarity, innovation, and durable solutions at scale.
Lead efforts to improve data governance and data quality, ensuring the right structures, documentation, and controls are in place to support safety-critical decision-making.
Design and implement self-service data tools, pipelines, and frameworks that empower cross-functional teams to access and use high-quality data independently.
Respond quickly and thoughtfully to urgent safety incidents, providing analytical clarity and decision support in high-stakes, time-sensitive situations.
Collaborate with product, engineering, and operations teams to design durable systems that support proactive safety efforts and reduce reliance on manual interventions.
Own the development and delivery of transparency reporting, including defining meaningful metrics, shaping external narratives, and advising internal stakeholders.
Become a key thought partner in shaping safety product experiences, providing data-backed insights to support more secure and engaging interactions across the platform.
Foster a culture of analytical rigor, clear communication, and shared accountability for impact across cross-functional teams.

You Have:

BA/BS in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience
5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment
5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Expert SQL skills and proficiency in Python/R
Experience using data to create insight, drive business decisions and influence leadership

Bonus Points

MS/MA or higher in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or a related technical field
Experience in a data science team working on Trust & Safety, analytics, and insights
Experience working with operations data and developing automation solutions to improve operational efficiency
Experience working with software development and operational event data
Familiarity with Twitch, either as a viewer or creator (or both!)

Perks

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW8874

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.

US Pay Per Year$143,300—$247,600 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

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Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

$119,000.00 - $155,000.00

What’s the role?

We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn! Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community.

This is a full-time position reporting to the Manager of Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.

This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.

What’s this team like at Etsy?

The Marketing Analytics team is responsible for helping drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.

We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience.

What does the day-to-day look like?

Develop, implement, and refine core marketing measurement frameworks and models, including attribution, CLV, return on investment, experiment methodology, and segmentation.
Drive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentation.
Play a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional data.
Identify key metrics that drive the performance of marketing channels and marketing products, make these accessible to partners through dashboards and reports, and drive these metrics through statistical analyses of experiments.
Continually evaluate and refine your technical toolkit, sharing what you learn with the team.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

2+ years of proven experience as a data scientist/analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering support.
Experience with performance/digital marketing operations, channel attribution, churn and lifetime value models, analytical tools and infrastructure, and finding efficient growth strategies a plus.
Experience working on marketing measurement projects, such as building and deploying models (MTA, LTV, etc.) and running experiments (geoX, CLS, etc.), is a plus.
Proficient in SQL and either R or Python.
Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partners.
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work.
Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems.
Passionate about subjects such as experimental design, data visualization, and statistical analysis techniques.
Experience with Looker, Tableau, or other data visualization software a plus.

Additional Information

What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

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Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Scientist, Product Analytics Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications

Master's or Ph.D. Degree in a quantitative field

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

About the team

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

This role is based in Singapore.

Responsibilities:

Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

5+ years of industry experience and a degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Experience in schema design and dimensional data modeling a plus
Ability to perform statistical analysis to drive data-informed decisions

Preferred qualifications:

Experience in technology, financial services and/or a high growth environment is advantageous

#singapore

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

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The Core Analytics - Market team empowers business teams around Datadog to derive high-quality insights from data and take action upon it. We tackle projects such as determining a customer’s propensity to convert and try our products, qualifying leads to maximize our impact or providing key selling points to sales representatives.

As a Senior Data Scientist, you’ll deep dive into business problems and leverage data analytics, machine learning and automation to build out production-ready internal tools for a variety of stakeholders (e.g. Go-To-Market Strategy, Sales, Marketing).

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

Leverage machine learning, AI and statistics to support internal stakeholders to grow the business.
Lead data scientists to foster software development and data science best practices.
Take an active role in understanding the business challenges and suggesting ideas to solve them using advanced analytics.

Who You Are:

You are impact-driven and have a pragmatic approach. You consider technology as a tool rather than an end in itself.
You are curious to understand how Datadog’s business operates at its core and are motivated to contribute to its growth.
You have experience mentoring peers as a senior engineer and setting data science best practices.
You are a data scientist at heart. You have a demonstrated experience of building products that bring value.
Ability to collaborate with business stakeholders, understand their needs, and simplify complex technical concepts for them.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD\n

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

\n\n

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

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Company Description

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table.

Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.

Job Description

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients.

You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence!

Your primary responsibilities will include:

Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
You will be working on EST hours (6:30 PM to 3:30 AM IST)
Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes.
Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

Qualifications

Fluency in English.
Programming proficiency in Python and SQL.
1 + years of experience in a data role.
analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics .
Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling.
You seek and implement solutions to improve and automate processes.
An understanding of machine learning concepts with hands-on experience.
A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 Reward: You'll be eligible to join our discretionary annual bonus scheme.

💫 Custom Work Environment: Work remotely in a night shift model.

📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com.

#LI-Hybrid

As a Senior Data Scientist, you will have end-to-end ownership of critical analytics products for TRM’s customers. In collaboration with a highly skilled team of engineers, data scientists, research scientists and go-to-market teams, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.

The impact you will have here:

Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends.
Lead the roadmap and prioritisation of the analytics customer products suite based on market demands.
Use your high-level business acumen to collaborate with our go-to-market team and work directly with our customers to understand their challenges and pain points in order to creatively translate them into impactful models and products.
Develop complex statistical analysis, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains.
Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
As a leader in the team, you will collaborate closely with engineers, data scientists, and research scientists to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
Establish best practices and statistical rigor around data-driven decision-making

What we’re looking for:

Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
You have 8+ years of experience working in an analytical role.
You have customer facing experience and you enjoy sitting with the customers to understand their challenges.
You have a strong knowledge of relational databases, (e.g. SQL).
You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
You have a strong experience building scalable data and analytics products from design to deployment phases.
You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance.
You are delivery-oriented and you are experience in a face-paced environment.
You have excellent verbal and written communication skills and experience in influencing decisions with information.
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.

About the Team:

The team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration.
All team members, regardless of location must have at least 4 hour overlap with PST business hours.
The team is involved in 2 different on-calls\n
- Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
- Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)
\n

Learn about TRM Speed in this position:

Deliver a last-minute impactful project for a key customer
Build complex products effectively with tight timeframes (1-2 sprints for MVP)
Work on several projects in parallel with different priorities and stakeholders

\nThe following represents the estimated range of compensation for this role:\n

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only
The estimated base salary range for this role is $160,000 - $175,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

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CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more at cloudwalk.io.
Who We’re Looking For:
We’re hiring a Data Scientist to help us drive decision-making and product innovation through careful experimentation, critical thinking, and applied machine learning.
You’ll work closely with engineers, researchers, and product teams to generate insights from data, design and run A/B tests, and train models that improve our products. This is a hands-on, full-stack data science role - from SQL and EDA to modeling and business impact analysis.
We’re looking for someone who knows how to think clearly with data, ask the right questions, and translate results into action. You don’t chase trends - you like when the data makes sense.
\n

What You'll Do:

Explore product and system data to uncover opportunities, issues, or hypotheses.
Design and analyze A/B tests, working closely with product and growth teams.
Train, tune, and evaluate classical ML models (classification, regression, ranking).
Communicate findings clearly through writing, dashboards, and presentations.
Work with backend and infra teams to deploy and monitor your models.
Build reproducible workflows using tools like notebooks, scripts, and experiment tracking.
Contribute to a culture of curiosity, rigor, and patience in how we work with data.

What We’re Looking For:

Strong analytical skills: You know how to break down a question, test a hypothesis, and avoid false conclusions
Solid ML foundation: You’re comfortable training models, tuning them, validating results, and explaining decisions
Deep EDA and data handling: You can explore a dataset from all angles, understand distributions, spot leaks, and clean things up
Experimentation mindset: You’ve designed or analyzed controlled experiments and know when an A/B test makes sense — and when it doesn’t
Code quality: You write clean Python, use version control, and prefer reproducible work
Business awareness: You think about cost, value, trade-offs, and know when a heuristic beats a model
Communication skills: You can explain your thinking in writing and discussions, with clarity and precision.

Bonus Points:

Experience with causal inference or uplift modeling
Experience in product analytics or growth-focused DS
Experience working with Airflow, BigQuery, dbt, or similar data infra
Experience in training and shipping models to production
Familiarity with basic experimentation pitfalls (SRM, novelty effects, power issues).

How We Hire:

Online assessment: technical logic and fundamentals (Math/Calculus, Statistics, Probability, Machine Learning/Deep Learning, Code)
Technical interview: deep dive into theory and reasoning for fraud detection (no code)
Cultural interview

If you are not willing to take an online quiz, do not apply.

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About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google’s Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work!

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You'll Be Contributing to Moloco:

Data Science and Analytics (DSA) is a global team of data scientists. As a Senior Data Scientist, Growth Analytics you will provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

Here’s what you’ll be working on:

Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models.

Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients.
Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.

How Will You Know if the Role is Right For You?

Minimum Requirements:

Bachelor's degree in a quantitative field with 7+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB).
OR a Master’s degree in a quantitative field with 5+ years data analytics work experience using statistical packages.
OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages.
Programming: working knowledge of SQL and Python (or R) is required.
Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
Professional experience in marketing science, ideally within the ad-tech sector.
Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders.
Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
Ability to work effectively with cross-functional and cross-cultural partners.
An interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.

Preferred:

Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
Ability to manage multiple projects at the same time while paying attention to detail.
Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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Company Description

Job Description

Your primary responsibilities will include:

Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
You will be working on EST hours (6:30 PM to 3:30 AM IST)
Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes.
Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

Qualifications

Fluency in English.
Programming proficiency in Python and SQL.
1 + years of experience in a data role.
analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics .
Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling.
You seek and implement solutions to improve and automate processes.
An understanding of machine learning concepts with hands-on experience.
A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 Reward: You'll be eligible to join our discretionary annual bonus scheme.

💫 Custom Work Environment: Work remotely in a night shift model.

📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.

#LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Jellyfish","sameAs":"https://www.jellyfish.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Data Scientist, Payment Analytics - USDS","datePosted":"2025-08-05","description":"Team Intro:
\nThe Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.
\n
\nIn order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
\n
\nResponsibilities:
\nThis role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include:
\n
\n- Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches.
\n- Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction.
\n- Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring.
\n- Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile.
\n- Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion.
\n- Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc.
\n- Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges.
\n- Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance.
\n- Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions.
\n- Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Data Scientist Executive, Investment Analytics","datePosted":"2025-08-12","description":"

Company Description

Job Description

Your primary responsibilities will include:

Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
You will be working on EST hours (6:30 PM to 3:30 AM IST)
Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes.
Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

Qualifications

Fluency in English.
Programming proficiency in Python and SQL.
1 + years of experience in a data role.
analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics .
Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling.
You seek and implement solutions to improve and automate processes.
An understanding of machine learning concepts with hands-on experience.
A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 Reward: You'll be eligible to join our discretionary annual bonus scheme.

💫 Custom Work Environment: Work remotely in a night shift model.

📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.

#LI-Hybrid

- The Principal Data Scientist will have responsibility for providing thought leadership and ownership of deliverables related to the designing, developing, and deploying of forward looking ML models meeting real business objectives and priorities.

- The ideal candidate will thrive in collaborative environments, capable of working in a dynamic data environment still in the early stages with significant growth on the roadmap. The team moves fast with solutioning happening in AWS, Redshift, and Tableau.

- The ideal candidate will prove capable of deep understanding of operational processes, data structures, and technical capabilities.

- The person in this role will collaborate closely with Operational leaders, Product Management, and the Federal EAP Data and Analytics team in order to provide solutions that can be merged into the technology stack and provide features to the overall product.

- Above all else, the candidate will act as a servant leader, supporting the development team and the organization with authenticity, integrity, and empathy.

Provides thought leadership in designing and implementing strategic frameworks and best practices to help grow overall data science literacy. Designs, documents, develops and delivers analyses using the latest innovations in computing tools, predictive analytics and machine learning. Uses a variety of computing and data mining tools and develops and maintains algorithms to predict patterns in data. Performs both ad hoc analyses that will vary in duration and complexity and participates in projects as part of the Data and Analytics team.

Build best practices and frameworks as part of broader strategy to build data science literacy. (20%)
Leads development and presentation of compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business. Provides thought leadership on product and project roadmaps and participates in planning exercises. Coordinates and advises on analytics efforts performed by in-house staff or outside consultants to ensure that all work is completed according to the project plan. (20%)
Utilizes machine learning and supervised and unsupervised learning algorithms. Participates in defining issues to be studied as well as the methodology to be used in addressing these issues. Develops algorithms to determine predictive patterns within the data. Participates in data governance and data definition discussions, ensuring consistency and validity across data universe. Works as part of broader scrum team to deliver capabilities on time and as part of larger project scope. (40%)
Performs exploratory data analyses and data mining of healthcare data. Performs ad hoc analyses that will vary in duration and complexity. (20%)

Other Job Requirements

Responsibilities

Master’s Degree and 10+ years of experience in Data Science and/or AI development.
5+ years’ experience mentoring other data scientists learning/moving into a data science role.
Experience working in Amazon Web Services (AWS).
Must be proficient in using SQL, Python, and Excel.
Proficient with basic querying capabilities using ANSI SQL for relational database read only querying purposes.
Proficient in the use of the latest innovations in computing tools, predictive analytics.
Experience in statistical analysis, data research, data design and sampling methodologies. Experience working with normalized and denormalized data structures.
Demonstrated ability to identify issues and propose methodological solutions.
Demonstrated competency in developing efficient and effective solutions to complex business problems.
Demonstrated ability to conduct and interpret quantitative and qualitative analysis.
Must demonstrate effective communication skills - consulting, interpersonal, and presentation.
Ability to work under tight deadlines in a dynamic environment.
Strong analytic and problem-solving skills and ability to interpret results of query analyses.
Ability to develop and communicate analytic results to support business questions.
Must be capable of translating complex IT and computer concepts to unfamiliar users of the information at the executive level.
Must be able to balance multiple priorities while maintaining a high level of quality.
Synthesizes analyses well, highlighting implications of findings.

General Job Information

Title

Federal Analytics - Principal Data Scientist

Grade

Work Experience - Required

Data Science

Work Experience - Preferred

Education - Required

Bachelor's, Master's

Education - Preferred

PhD - Statistics

License and Certifications - Required

License and Certifications - Preferred

Salary Range

Salary Minimum:

$117,860

Salary Maximum:

$200,360

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.

This position may be eligible for short-term incentives as well as a comprehensive benefits package. Magellan offers a broad range of health, life, voluntary and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing.

Magellan Health, Inc. is proud to be an Equal Opportunity Employer and a Tobacco-free workplace. EOE/M/F/Vet/Disabled.
Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their position; and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.

","hiringOrganization":{"@type":"Organization","name":"Magellan Health","sameAs":"https://www.magellanhealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote TX Frisco 75034, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Advanced Analytics Modeler/Data Scientist","datePosted":"2025-08-14","description":"Our Advanced Analytics Modelers translate raw data into actionable business information. This role, in the Advanced Analytics Department, applies economic, quantitative, and statistical skills in the development of underwriting, pricing, financial, and claims models to achieve profitable growth and make sound business decisions across all areas of Sentry Insurance.

Based on qualifications and experience, this position can be filled as an Advanced Analytics Modeler/Data Scientist I, II, or Senior.

This position will be located at our office in Nashville, TN or at our office in Madison, WI in a hybrid work model and is not a fully remote opportunity.

For this position, Sentry does not offer employment to holders of F-1, J-1, and H-1 Visas.

What You’ll Do

Identify components of insurance costs and estimate the expected values by risk.
Identify data sources, build necessary data queries using SQL/ETL queries, and verify data quality.
Apply data science tools and various statistical techniques such as regression, decision trees and neural networks to build, validate, and implement models for solving business problems.
Monitor existing models and processes to ensure performance and data quality.
Estimate the economic impact of operational decisions.
Lead analysis of business data to provide insights and business recommendations.
Lead analysis of business strategies to measure overall effectiveness.
Manage multiple modeling and statistical projects, including timelines, personnel, and communication with project sponsors.

What It Takes

Masters Degree or equivalent work experience.
Experience in the insurance industry preferred.
Excellent written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels.
Demonstrated proficiency in statistical software tools such as Python, R, or SAS.
Knowledge of data extraction, validation, and practical application of statistical modeling techniques.
PhD or Masters in applied math, statistics, operations research, economics, finance, or related quantitative field preferred.

What You’ll Receive

At Sentry, your total rewards go beyond competitive compensation. Below are some benefits and perks that you’ll receive.

Sentry is happy to offer flexibility through a scheduled Hybrid work model. Monday and Friday work from home if you choose to, Tuesday through Thursday in office.
- As a Sentry associate, you will have an in-office workspace and materials for your home office. In addition to the laptop, you will receive prior to your start, Sentry will provide equipment for your home office.
Meal Subsidy available for associates who report to an office.
401(K) plan with a dollar for dollar match on your first eight percent, plus immediate vesting to help strengthen your financial future.
Continue your education and career development through Sentry University (SentryU) and utilize our Tuition Reimbursement program
Generous Paid-Time Off plan for you to enjoy time out of the office as well as Volunteer-Time off
Group Medical, Dental, Vision, Life insurance, Parental leave, and our Health and Wellness benefits to encourage a healthy lifestyle.
Well-being and Employee Assistance programs
Sentry Foundation gift matching program to encourage charitable giving.

About Sentry

We take great pride in making Forbes’ list of America’s Best Midsize Employers. A lot of different factors go into that honor, many of which contribute to your job satisfaction.

Our bright future is built on a long track record of success. We got our start in 1904 and have been helping businesses succeed and protect their futures ever since. Because of the trust placed in us, we’re one of the largest and financially strongest mutual insurance companies in the United States. We’re rated A+ by A.M. Best, the industry's leading rating authority.

Our headquarters is in Stevens Point, Wisconsin, with offices located throughout the United States. From sales to claims, and information technology to marketing, we enjoy a rewarding and challenging work environment with opportunities for ongoing professional development and growth.

Get ready to own your future at Sentry. Opportunities await!

Casey Van Der Geest

Casey.VanDerGeest@sentry.com

Equal Employment Opportunity

Sentry is an Equal Opportunity Employer. It is our policy that there be no discrimination in employment based on race, color, national origin, religion, sex, disability, age, marital status, or sexual orientation.

","hiringOrganization":{"@type":"Organization","name":"Sentry","sameAs":"https://www.sentry.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nashville Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Scientist II - Faculty Analytics","datePosted":"2025-08-15","description":"

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Technical 408

Pay Range: $116,000.00 - $174,100.00

Job Description

The Institutional Analytics and Research (IAR) team supports and enables most university teams, departments, and colleges to make data-informed decisions that lead to better student outcomes. Our analysts, scientists, researchers, and managers are distributed across several teams: Faculty Analytics, Institutional Research, Curriculum Analytics, Outreach Analytics, and Student Success Analytics.

The Data Scientist II is responsible for producing valuable information from very large sets of structured, semi-structured, and unstructured data. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They utilize statistical models, machine learning, text mining, natural language processing, and other methods to create predictive models. These models may be integrated into new or existing workflows

Primary Responsibilities

Documents data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates user stories into technical requirements.
Sets and manages expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
Analyzes large data sets from both structured and unstructured sources and develops statistical and predictive models.
Collaborates with Data Engineering in the development of ETL/ELT processes and data pipelines.
Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
Utilizes software, scripts, and algorithms to perform complex data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention.
Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops.
Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
Contributes actively to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.).
Supports and accelerates other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
Tracks and reports own progress, dependencies, and challenges diligently. Breaks down complex goals into concrete tasks and activities.
Drives tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
Designs small-scale solutions and collaborates effectively with other technical specialists (e.g., data engineers) in the construction of data products, systems, and applications.
Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
Works actively to improve skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university.
Performs other job-related duties as assigned.

KSAs

Advanced knowledge in accessing, retrieving, manipulating, inserting, and deleting data from structured and unstructured databases.
Advanced SQL proficiency, with experience writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of the different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
Ability to interpret and design models that describe how data relate to one another and to the properties of the real-world entities they represent.
Familiarized with versioning tools in the context of CI/CD (e.g., Github) and deploys models using the university’s machine learning operations (MLOps) self-service capabilities.
Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
Advanced experience in the selection and deployment of a variety of mathematical models, forecasting methods (e.g., time series, inferential, regression), descriptive statistics, and classification algorithms to make predictions and identify relationships based on limited data sets.
Considerable experience using Python, R, and/or Natural Language Processing in an ML environment, requiring little to no supervision.
Highly skilled at selecting and deploying methods and techniques like A/B Testing.
Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC).
Proficient in MS Office suite, including advanced Excel knowledge.
Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications.
Ability to apply sound judgement, systems-thinking and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive decisions that contribute to the achievement of university objectives.
Ability to perform with very high levels of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need of supervision.
Knowledgeable of the university’s most relevant KPI’s and the drivers that affect them.

Minimum Qualifications

Bachelor's Degree in a related discipline
5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager.

Preferred Qualifications

Proficiency with PySpark

Work Location

Salt Lake City, Utah

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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About Airwallex

About the team

This role is based in Singapore.

Responsibilities:

Identify and quantify opportunities to drive product adoption, and translate insights into roadmap priorities
Design and implement experiments to measure the impact of growth initiatives (acquisition, activation, retention, reactivation)
Objectively measure the performance of growth programs and generate actionable insights
Build scalable measurement frameworks to enable data-driven decision-making across teams
Build predictive models to identify high-value users for the Growth team to prioritize
Partner with Growth, Marketing, Sales, and Product teams to shape and execute Growth strategy

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

5+ years of industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
2+ years of experience in Growth Analytics or a similar role
Proven ability to communicate analyses and influence senior stakeholders
Demonstrated ability to apply statistical methods and A/B testing to drive decisions
Strong skills in SQL and Python/R. Experience with data modeling a plus

Preferred qualifications:

Experience in technology, financial services and/or a high growth environment is advantageous

#singapore

Equal opportunity

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable, and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network, and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators, and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

About Visa Consulting & Analytics

Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers, and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

The individual will be part of VCA Data Science team, under Visa Managed Services (VMS) vertical and will be responsible for delivering data analytics projects with Visa client. The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management.

What a Data Scientist, Visa Consulting & Analytics does at Visa:

The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead. This position will be embedded at client office and based in Bangalore.

The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value.

Key responsibilities include:

Execute and deliver data analytics projects for the Visa client
Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.
Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.
Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure.
Explore leading methodologies, best practices and import successful methodologies from other international markets
Effectively interact with clients and manage internal/external stakeholder communication

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.

What you will need:

We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.

This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.

Qualifications

Basic Qualifications:

3- 5 years of relevant work experience and a Bachelors degree,

Preferred Qualifications:

3-5 years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
Experience in credit cards, and/or retail banking analytics
Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
Self-motivated, results oriented individual with ability to handle multiple projects concurrently
Experience in working closely with data science community

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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We’re seeking an Data Scientist & Analytics Engineer to help us succeed in building high-quality products.

This role focuses on modeling, diagnostics, and insight generation during prototyping and validation builds—when failure modes are uncertain, system variation is high, and confidence must be earned.

You’ll develop analytics and ML systems that highlight inefficiencies, explain yield, assist with failure analysis, and uncover any other blind spots. Your work will support critical decisions by enabling high-trust visibility into performance, yield, reliability, and early SPC signals. You’ll work side-by-side with hardware, test, reliability, and manufacturing teams to debug the factory as a system—before scale amplifies its faults.

In this role, you will:

Build pipelines and models that track yield, Gage R&R, test escapes, and other anomalies across prototype and validation hardware builds
Develop tools for interactive root cause analysis, station diagnostics, and statistical correlation across attributes
Enable early SPC workflows and process capability analysis (e.g. Cp/Cpk) for new lines, stations, and SKUs
Automate commonality, slot, and shift-level comparisons to isolate sources of instability or inefficiency
Integrate with test and factory software to ensure that data collected is analysis-ready, interpretable, and traceable
Contribute to dashboards and visuals that accelerate business insights, enable R&D decisions, and perfect design iterations

You might thrive in this role if you

Experience in ML, analytics, or data science, ideally in a hardware or manufacturing setting
Understand factory data deeply: yield curves, SPC, GR&R, measurement variation, slot/fixture/station noise
Are fluent in Python and SQL, with experience building pipelines (ELT, ETL) and diagnostic workflows in production data systems
Know how to extract insight from messy time-series and component-level data across test and process domains
Are comfortable presenting failure mode hypotheses to engineers and go/no-go summaries to executives

Your work will drive clarity when hardware and factory systems come online for the first time.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Minimum qualifications:

Master's degree in Electrical Engineering, Operations Research, Industrial Engineering, Economics, or a related field, or equivalent practical experience.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
2 years of experience as an Energy Analyst or equivalent, working with energy system data.
Experience with optimization software (e.g., cvx, Gurobi), statistical software (e.g., R, Python), and database languages (e.g., SQL).

Preferred qualifications:

PhD in Electrical Engineering, Operations Research, Industrial Engineering, Economics, or a related field.
4 years of work experience (e.g., Energy Analyst, Trader, System Operator), applying advanced analytics to energy systems, planning, control, and learning problems (university, national labs, electric utility companies).
Experience designing performance-based energy systems optimization and control algorithms.
Experience designing and building statistical forecasting models and machine learning models.
Excellent problem-framing, problem-solving, project management, customer service, and team collaboration skills.

About the job

At Google, data drives all of our decision-making. Our Data Scientists work across the organization, shaping Google's business and technical strategies by processing, analyzing, interpreting data sets, and developing new algorithmic and statistical approaches to improve system performance and efficiency.

Our team delivers globally optimal solutions, reducing infrastructure investments, operating costs, and electricity-based CO2 emissions of Google’s fleet by optimizing network, compute, storage, power, and carbon together.

In this role, you will leverage energy domain knowledge and versatile analytic skills to develop solutions for efficient, scalable, and carbon-aware management of Google-scale energy assets, with a primary focus on sustainable computing and AI. You will have an extensive optimization and statistics background, coding experience, and working knowledge of energy market data.

You will be analyzing data, and also collaborate with Google’s Energy and Policy Strategists, Engineers, and Product Managers, adjusting compute, AI, and energy management systems based on findings. You are expected to apply your deep understanding of systems analysis and control, energy market dynamics, optimization, statistical knowledge, and coding to develop methods solving issues related to carbon-aware computing, optimal energy asset sizing, market participation, forecasting, and scalable control. You will work with different stakeholders, driving innovation of our computing and energy systems while improving efficiency and global environmental impact. You will also think critically and strategically about Google’s fleet-wide energy assets, cloud technology, business operations, and their environmental impact.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead projects on energy systems or market analysis and modeling or optimization, selecting appropriate investigative methods and complexity for business issues.
Engage to identify, prioritize, frame, and structure complex, ambiguous energy issues where advanced analytics can have the biggest impact.
Identify and communicate key issues and opportunities for the groups focus.
Help define investigative direction and influence associated engineering and infrastructure work.
Articulate business questions, use mathematical techniques with data to find answers, and translate analysis results into business recommendations.

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We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As a Data Scientist Senior Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.

Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

Job spec requirements:

The Fraud & Financial crime Product function leads the 1st line of defense business for fraud & financial crime risk, including ownership of the fraud & financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud & financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective.

Job responsibilities:

Develop and implement fraud strategies/rules to effectively detect fraudulent activities.
Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.
Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.
Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.
Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.
Share best practices across JP Morgan Chase & Co.
Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners

Required qualifications, capabilities and skills

Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc
Knowledge of Fraud / Financial crime processes and products
Team development and management experience required.

#ICBCareer

\n\n

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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This is not a listing for an internal role at Dragonfly. We are actively hiring Analytics Engineers & Data Scientists for multiple portfolio companies building open crypto data infrastructure, AI tools, and on-chain intelligence platforms.
What We’re Looking For:

Based in the broader New York City area and for exceptional candidates we are open to remote
You have 2+ years of data engineering, data science, or analytics engineering background
You love to ship products, exercise agency, have a growth mindset, and love crypto
You love hard and ambiguous data problems - we aren’t afraid to ask anyone so you can get the data that you need
Prior experience working with on-chain data (Dune, Flipside etc.) is a huge plus

About the Role(s):

Own the protocol data platform end-to-end — designing, building, and shipping full-stack data features, while creating a scalable infrastructure that empowers analysts to do the same.
Develop and maintain the industry’s best open and free on-chain dashboards, enabling anyone worldwide to access and understand blockchain activity.
Advance the crypto industry by delivering high-quality, first-principle data and helping stakeholders interpret and apply it.
Build your personal brand as a thought leader by sharing your work, insights, and dashboards with the broader community through writing, speaking, and social channels.
Collaborate closely with top capital allocators in crypto — from global asset managers to leading token funds — incorporating their feedback, strengthening relationships, and driving innovation alongside them.

Process:

We’ll confidentially match you with one or more portfolio companies based on your background and interests.
If mutual interest exists, we’ll facilitate warm introductions to relevant teams.
If there isn’t a fit today, we’ll keep you in mind for future opportunities across our portfolio.

Our portfolio companies are globally distributed, hiring for remote, hybrid, and in-person roles worldwide. They’re building across the entire crypto ecosystem - including DeFi, CeFi, infrastructure, L1s and L2s, creator and consumer applications, NFTs, ZK, Crypto x AI, and more.
All candidate submissions are strictly confidential.","hiringOrganization":{"@type":"Organization","name":"Dragonfly Capital Partners","sameAs":"https://dragonfly.xyz"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Scientist (Analytics), Business Platform","datePosted":"2025-08-14","description":"

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

We drive innovation and operational excellence by turning data into actionable strategies that elevate the end-to-end experience for consumers, driver-partners, and merchant-partners. From optimizing transaction flows and platform efficiency to enhancing reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

You will report to the Product Analytics Manager, Business Platform and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

The Critical Tasks You Will Perform

You will understand our requirements and outcomes to ensure data-driven decision-making.
You will conduct tailored analyses for specific products and operations, define critical business metrics, track them rigorously, and recommend continuous improvements.
You will frame business scenarios and propose features that impact critical business processes and decisions.
You will transform requirements into concise insights through reports, presentations, and dashboards, and consolidate data from multiple sources to create comprehensive views for decision-making.
You will develop data pipelines and custom data science models to solve identified problems.
You will launch A/B tests, analyze the results, and provide recommendations based on your findings.
You will be a pioneer in the adoption of Gen AI across functions, and leverage Gen AI to optimize product features, business operations, and internal productivity.

Qualifications

What Essential Skills You Will Need

You have at least +4 years of experience in data-related or quantitative fields such as Analytics, Science, Statistics, or Mathematics.
You are fluent with SQL, Python, R or other scripting/programming languages.
You are experienced in handling large datasets and maintaining complex Extract, Transform and Load (ETL) processes.
You have strong business acumen and the ability to connect user behavior with product features. To do that, you need to be a structured problem solver.
You have solid statistical knowledge and hands-on experience running and analysing controlled experiments.
You are proficient in creating dashboards using Tableau, PowerBI or other visualisation tools.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

","hiringOrganization":{"@type":"Organization","name":"Grab","sameAs":"https://www.grab.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jakarta, Indonesia","addressCountry":"Indonesia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Data Scientist / Senior Data Scientist","datePosted":"2025-07-18","description":"

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

Driving adoption of Deep Learning systems into next generation of C3 AI products.
Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

Qualifications:

MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Experience with prototyping languages such as Python and R.
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Experience with scalable ML (MapReduce, streaming).
Ability to drive a project and work both independently and in a team.
Smart, motivated, can-do attitude, and seeks to make a difference.
Excellent verbal and written communication.
Ability to travel as needed

Preferred Qualifications:

Experience with JavaScript and Java.
Experience with time series and dynamical systems.
A portfolio of projects (GitHub, papers, etc.).

C3 AI provides excellent benefits and a competitive compensation package.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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General Summary:

The Data Scientist at the Stone Living Lab (SLL), UMass Boston is responsible for curating, managing and generating ways to make SLL data publicly accessible in a way that obeys FAIR (Findability, Accessibility, Interoperability, and Reuse) best practices. The Data Scientist will work with PIs, partners, and students to create, organize and maintain SLL data management processes as well as generate public-facing products using SLL data. This role will be housed within the School for the Environment and will work on SLL projects.

The Data Scientist will play a crucial role in preparing SLL data for major repositories (e.g. the Environmental Data Repository (https://edirepository.org/), DataONE (https://www.dataone.org/services/), PANGAEA Data Publisher for Earth & Environmental Science (https://www.pangaea.de/, NOAA National Centers for Environmental Information (NCEI), IOOS/NERACOOS), to provide long-term public availability, robust metadata generation, and open APIs. They will work collaboratively with diverse stakeholders, including community organizations, government agencies, academic partners and internal UMB partners to ensure that SLL’s data is managed to the highest standards and communicated widely and equitably to support climate resilience.

Examples of Duties:

1. Data Management and Infrastructure

Design and implement robust data pipelines for ingestion, validation, transformation, and storage that follow best practices for the international data community.
Develop or maintain database systems (e.g. PostgreSQL, cloud storage, APIs) to ensure efficient access and querying.
Work with scientists to ensure standardization and interoperability across different projects (e.g., consistent formats, metadata standards).
Automate data collection and cleaning processes from instruments, sensors, or external sources.
Advise on data privacy and ethical considerations, especially for public-facing platforms.

2. Data Curation and Quality Control

Work with scientists (for domain specifics) to perform data validation and anomaly detection to ensure integrity and consistency.
Work with scientists to create and maintain metadata documentation for datasets (descriptions, provenance, usage guidelines).
Create archiving protocols and pipelines for future use.
Manage version control of datasets and data schemas.
Establish best practices for data governance, archiving, and FAIR principles (Findable, Accessible, Interoperable, Reusable).
Maintain clear, accessible documentation for datasets, codebases, and analytical methods.
Create pipelines between SLL data and the Ocean Biogeographic Information Service (OBIS) and the Global Ocean Observing System (GOOS) for international representation of SLL data.

3. Data Analysis and Interpretation

Assist researchers to analyze datasets to support scientific objectives and extract insights from ecological, biological, or environmental questions.
(Depending on domain knowledge) Use statistical and machine learning techniques where appropriate to model trends or forecast outcomes.

4. Public-Facing Information and App Development Support

Work with scientists and the education team to build data-driven applications, dashboards, or interactive tools for the public, stakeholders, or decision-makers.
Work with real-time data streams to establish data pipelines that quality control data before providing to the public.
Translate research outputs into visualizations, maps, or summaries accessible to nontechnical audiences.
(Depending on experience) Contribute to API design to ensure external users can access selected data securely and intuitively.

5. Cross-Disciplinary Collaboration

Serve as a bridge between scientists, the education team, and external partners.
Help define data needs for different users (researchers, decision-makers, public).
Train lab members in data literacy and reproducible science workflows (e.g., R/Python scripting, GitHub).

6. Documentation and Reporting

Contribute to scientific publications, reports, and grant proposals by providing data summaries and figures.
Assist in tracking data contributions to performance metrics or impact assessments (e.g. number of downloads, reuse in policy tools).

Qualifications:

C. Minimum Qualifications:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience with data science or machine learning in a professional setting.
Experience working with real-world data, including data cleaning, transformation, and exploratory analysis.
Familiarity with statistical analysis.
Strong understanding of climate change impacts and environmental/climate justice.
Strong communication and organizational skills.
Strong problem-solving skills and ability to work independently and with diverse stakeholders.
Excellent written and verbal communications skills.

D. Preferred Qualifications:

Advanced degree (MSc or PhD) in a quantitative discipline.
Experience contributing to or maintaining open-source projects.
Demonstrated ability to design and build ML pipelines and APIs for scalable deployment.
Familiarity with machine learning techniques.
Familiarity with Ecological Meta-Language (EML).
Experience with R Shiny, Python or others.
Knowledge of web content management systems interfacing with relational database systems using common programming languages.
Familiarity with major data hosting platforms for ecological or other environmental data streams (e.g., Data One, OBIS, EDI, or others).
Experience with tabular, imagery, raster, video, and other data formats.
Publications or technical writing in machine learning or data science.

Application Instructions:

Please apply online with your resume, cover letter and list of three professional references.

Review of candidates will begin following the application closing date.

Only Internal candidates in the Professional Staff Bargaining Unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

Salary Ranges for the appropriate Pay Grade can be found at the following link:

Grade: 31

Salary Ranges

This is an exempt union position. This is a grant funded position with a current end date of May 31, 2026, subject to renewal contingent on funding and university needs.

All official salary offers must be approved by Human Resources.

\n\n

UMass Boston is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact HRDirect@umb.edu or 617-287-5150.

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Job Description:

The Associate will be a member of the Predictive Analytics team and will work with research analysts across regions to identify and analyze data that informs analysts’ investment ideas and is communicated via research reports.

Responsibilities:

Identify, acquire and cleanse data sources relevant to each project, including proprietary data, alternative data, market data and fundamental data
Analyze data using statistical methods, tools and time-series analysis
Visualize, simplify and communicate data analysis to research analysts in a digestible manner that they can communicate to their clients
Automate recurring analyses and routines

Troubleshoot and resolve data-related issues
Stay current on academic white papers, attend industry conferences and seek opportunities to implement cutting-edge techniques
Participate in company, department and team events, including employee networks and committees

Required Skills:

Undergraduate Degree, Master’s Degree preferred or equivalent years of experience
3+ years of full-time experience working with data
Direct experience working in the alternative data space is preferred
Experience writing Python code to retrieve data via APIs and conduct statistical analysis, machine learning, web scraping and sentiment analysis using Natural Language Processing (NLP)
Experience writing SQL queries to retrieve data
Advanced Excel skills and working with large datasets
Intellectually curious with strong analytic, quantitative, and critical reasoning skills
Excellent verbal and written communication skills
Strong attention to detail; exercise strong quality control over own work
Superior problem-solving and analytical skills
Ability to prioritize and manage multiple projects and meet deadlines
Ability to work effectively with others in a collaborative environment, as well as the ability to work independently

Shift:

1st shift (United States of America)

Hours Per Week:

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range

$70,000.00 - $175,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.","hiringOrganization":{"@type":"Organization","name":"Bank of America","sameAs":"https://www.bankofamerica.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"business insights and analytics - sr data scientist","datePosted":"2025-08-11","description":"

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Business Insights and Analytics: Data Scientist

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We’re looking for people who are determined to make life better for people around the world.

The LCCI (Lilly Capability Center India), BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, analytics and data sciences, business and commercial operations etc.

To better meet the evolving analytics needs, the LCCI BI&A team is ramping up the data sciences pillar. We are looking for a data scientist who can be a key contributor to DS-projects, provide statistical analysis with the objective of driving KPIs for the business.

Core Responsibilities:

Use advanced analytics techniques and build models to answer business questions at the intersection of the pharmaceutical and marketing spaces to provide value to commercial teams
Dive deep into a variety of data sources to find patterns, explain trends and tie them to business outcomes
Exhibit deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics
Effectively work and communicate with global teams and stakeholders to present the final outcomes and provide recommendations as needed
Stay current with respect to ML modelling methodologies, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
Continuous learning and experimenting new with possibilities for consumer marketing analytics
Collaborate with cross functional teams and external consultants to help review or translate this work to other team members

Experience Required

3-8 years of in-depth hands-on experience in building models using big data and ML/AI modelling techniques
Extensive experience working on the following areas of machine learning and artificial intelligence: features engineering, supervised and unsupervised learning, reinforcement learning, natural language processing, deep Learning, GenAI, optimization models.
Understanding of MLOps practices and big-data engineering, including model versioning, continuous integration and deployment pipelines.
Prior experience on MMM is preferred
Significant coding experience in Python and proficiency with virtual environments and containers.
Familiarity with version control system and platform (Git and GitHub).
Knowledge of Agile SCRUM methodologies.
Demonstrated strength/understanding in statistics (preferred)
Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is appreciated)
Experience working with digital data for Engineering/Healthcare/Retail/BFSI/Digital native companies
Familiarity with cloud technology and AWS services for analytics
Education
Master’s/ Ph.D. degree in computer science, technology, statistics/mathematics, econometrics oroperations research.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

","hiringOrganization":{"@type":"Organization","name":"Eli Lilly and Company","sameAs":"https://www.lilly.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN: Bengaluru - LCCI, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"C12-AVP Data Scientist-Fraud Analytics - BANGALORE","datePosted":"2025-08-11","description":"

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
Incumbents in this role may often be referred to as Data Scientists
Specialization in marketing, risk, digital and AML fields possible
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

7 plus years of experience
Must have the ability to retrieve and manipulation data
Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
Ability to build partnerships with cross-functional teams in order
Working experience in a quantitative field, Financial/Credit Card industry
Willing to learn and can-do attitude
Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment

Education:

Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

------------------------------------------------------

Job Family Group:

Decision Management

------------------------------------------------------

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

","hiringOrganization":{"@type":"Organization","name":"Citi","sameAs":"https://www.citigroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"AMRUTHAHALLI, NH 7,INTERNATION, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"C12-AVP Data Scientist - Fraud Analytics - BANGALORE","datePosted":"2025-08-11","description":"

Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
Incumbents in this role may often be referred to as Data Scientists
Specialization in marketing, risk, digital and AML fields possible
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

7 plus years of experience
Must have the ability to retrieve and manipulation data
Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
Ability to build partnerships with cross-functional teams in order
Working experience in a quantitative field, Financial/Credit Card industry
Willing to learn and can-do attitude
Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment

Education:

Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

------------------------------------------------------

Job Family Group:

Decision Management

------------------------------------------------------

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

","hiringOrganization":{"@type":"Organization","name":"Citi","sameAs":"https://www.citigroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"AMRUTHAHALLI, NH 7,INTERNATION, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Data Scientist Product, Analytics, Insights and Measurement","datePosted":"2025-08-11","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience with privacy-preserving technologies and data regulations.
Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Responsibilities

Driving business growth and help the team to empower advertisers with the tools and insights they need to navigate the evolving digital advertising landscape.
Develop quantitative models and frameworks to assess the business opportunity associated with improvements in attribution, incrementality testing, full-funnel measurement, and online-to-offline (O2O) measurement.
Quantify the impact of data deprecation and regulatory changes on Ads performance. Develop metrics to track the effectiveness of the mitigation strategies and data durability initiatives.
Define success metrics for the efforts to create a unified measurement platform. Analyze the impact of closing measurement gaps and enhance the customer value proposition.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Data Scientist - Vice President - Data & Analytics Engineering","datePosted":"2025-08-17","description":"

Morgan Stanley

Data Scientist - Vice President - Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as (Vice President) as a Data Scientist. The Data Scientist is a crucial pillar in our organization, translating complex problems into actionable insights through the power of data. You will collaborate with cross-functional teams to analyze large datasets, build predictive models, and develop data-driven solutions that enhance strategic decision-making and drive organizational growth. Our ideal candidate is curious, creative, and passionate about leveraging statistical and machine learning techniques to solve real-world challenges. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We are also looking for candidates who aspire to contribute to the broader data architecture community and become thought leaders in the space. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

Enterprise_Technology

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities

Data & Analytics Engineering

This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

Collect, process, and analyze large volumes of structured and unstructured data from diverse sources. · Develop and implement machine learning algorithms and statistical models specifically aimed at analyzing technology metrics, such as system performance, resource utilization, adherence to technology principles etc there by helping achieve improved resource utilization, boosting system reliability, reducing technical debt etc .
Generate actionable insights to guide strategic decisions and drive improvements in technology operations.
Work closely with business stakeholders to understand their objectives, formulate analytical questions, and translate requirements into data-driven solutions. · Perform exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.
Visualize and communicate findings using compelling reports, dashboards, presentations, and data storytelling techniques tailored to technical and non-technical audiences.
Collaborate with engineering teams to deploy predictive models into production environments and ensure their reliability, scalability, and performance.
Monitor, evaluate, and enhance model performance over time, implementing improvements as necessary.
Stay up to date with the latest research, tools, and best practices in data science, machine learning, and artificial intelligence.
Contribute to a culture of experimentation, continuous learning, and innovation within the organization.

What you’ll bring to the role:

10+ years of being a practitioner in data engineering or a related field.
At least 6 years' relevant experience would generally be expected to find the skills required for this role
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
Strong programming skills in languages such as Python or R; familiarity with SQL and distributed computing frameworks (e.g., Spark, Hadoop) is a plus.
Hands-on experience with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, Keras, PyTorch, or XGBoost.
Proficiency in data visualization tools such as Matplotlib, PowerBI, Tableau.
Solid understanding of probability, statistics, hypothesis testing, and data modeling concepts.
Experience with cloud platforms (e.g., AWS, GCP, Azure) for data storage, processing, and model deployment is beneficial.
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Strong attention to detail, analytical thinking, and problem-solving abilities.

Preferred Qualifications

Experience working on large-scale data science projects or in industry domains such as finance, healthcare, retail, or technology.
Familiarity with MLOps practices, model versioning, and monitoring tools.
Knowledge of natural language processing (NLP), computer vision, or time-series analysis.
Contributions to open-source projects or publications in relevant conferences/journals.
Develop and maintain data pipelines and ETL processes to ensure reliable and scalable data flow where applicable.

Key Competencies

Analytical Expertise: Comfortable working with large datasets, extracting meaningful insights, and interpreting ambiguous data patterns.
Technical Proficiency: Deep understanding of machine learning, statistical modeling, and data engineering principles.
Communication: Excellent written and verbal communication skills, with the ability to present insights effectively to senior leadership and non-technical stakeholders.
Collaboration: Team-oriented mindset, capable of building strong partnerships with colleagues across various departments.
Innovation: Commitment to creative problem-solving and willingness to experiment with novel approaches and technologies.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

","hiringOrganization":{"@type":"Organization","name":"Morgan Stanley","sameAs":"https://www.morganstanley.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"RMZ Ecoworld Business Park, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Sr/Staff Data Scientist (CX Product Analytics)","datePosted":"2025-08-19","description":"

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.

Please complete the attached Internal Transfer Request Form and submit.

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.

Please make sure to apply with your Coupang e-mail address.

\n\n \nAbout the Team 🚀\nCustomer Experience (CX) Product Analytics 팀은 고객들의 이커머스 여정에서 모바일/웹 프로덕트와 상호 작용하는 방식을 개선하는 것을 목표로 합니다. 또한 데이터를 통합하여 실행 가능한 인사이트를 생성하고, 복잡한 비즈니스 문제에 해결책을 제시하며 쿠팡의 고객에 대한 깊은 이해를 가능하게 합니다.\n \n \nResponsibilities 🚀\n· Product 전략 개발/지원을 위한 정량적 분석, 실험 및 데이터 제시를 통해 기술적 전문성을 적용하는 동시에, Product 개선을 위한 기대와 수단을 정의, 이해, 테스트하고 통찰력에 기반한 추가적인 제안을 통해 로드맵을 추진합니다.\n· 가설검증 - 테스트 가설을 세우고, 기회를 검증하고 고객 경험과 비즈니스 KPI에 긍정적인 개선을 가져다 줄 수 있는 조치들을 제안합니다.\n· 테스트 분석 - 통계학적으로 정확하고 적합한 A/B analysis 을 리딩하고, 테스트 결과를 이끌어내는 요인에 대한 “WHY”에 답하기 위해 코호트 연구를 진행합니다. 분석적이고 통찰력 있는 Report 관점에서 좀 더 복잡한 Test를 고안합니다.\n· 주요 Data Artifacts 와 Lineage (ex: ETL, 데이터 모델, 쿼리) 를 유지하며, 진행중인 테스트 성능/결과 모니터링을 위해 자동화된 데이터 워크플로우와 대시보드를 개발합니다.\n· 관련 시각화 툴 (Tableau/PowerBI/Superset 등) 을 활용하여 Metrics을 트래킹하고, 이상 데이터를 조사하며, 적절한 차원에서 지표를 추가적으로 분류하여 심층적인 dynamics을 밝혀냅니다.\n· 비즈니스의 기술적 및 운영적인 면에서의 세부 조건사항(ex: key dependencies, business drivers/KPIs, develop actionable business insights 등)들을 면밀히 탐색해서 건설적인 기술적 논의 및 검증에 기여합니다.\n· 기술적/시스템적으로 더 효율적인 솔루션을 알아보고 테스트합니다. 데이터를 어떻게 소화, 처리, 분석하는지 이해합니다.\n· 데이터셋 퀄리티를 개선하고 매뉴얼 프로세스를 자동화합니다.\n· 프로덕트 팀의 비즈니스 결정에 영향을 미치는 인사이트와 솔루션을 제공합니다.\n· 이해관계자들과 제안과 발견점에 대해 커뮤니케이션하고 추후 사용과 배포를 위해 위키로 문서화합니다.\n· 직무의 Seniority에 따라 CX 프로덕트 내에 복잡성이 높은 분석적 영역을 담당하게 되고, 여러 PM들과 상호적으로 업무하며 프러덕트 분석및 비지니스의 우선순위 결정에 중요한 영향력을 발휘 할수 있으며, 데이터 분석가로 구성된 작은팀(2-4인)을 관리하는 리더쉽 역할까지 기대하고 있습니다. (Staff 레벨)\n \n \n \nBasic Qualifications 🚀\n· Querying Language (ex. SQL) 와 스크립트 언어 (파이썬) 사용 경험.\n· Spark에 대한 이해도를 보유하신 분, GPU (ex. RapidsAI CUDA) 사용 경험 (우대 사항)\n· 정량분야의 학사 (STEM, Finance, Economics, Statistics)\n· Data Analyst, Data Scientist 등 데이터 분석 기술을 필요로하는 업무 약 3년 이상의 경험\n· A/B 테스트와 Bayesian statistics을 포함한 A/B 테스트의 통계 개념에 대한 이해도와, A/B 테스트 설계, 결과 해석 경험\n· 분산 시스템, 데이터 모델링, scientific methods 에 대한 종합적인 이해가 있고, 기술 통계/추리 통계에 대한 높은 전문성을 보유.\n· 다양한 stakeholders을 대상으로 다수의 프레젠테이션을 진행해본 경험 및 효율적인 커뮤니케이션 스킬을 보유.\n· 업무의 우선 순위를 효율적으로 정하고, 빠르고 역동적인 환경에서 효과적인 결과를 달성할 수 있는 역량 (멀티테스킹 역량)\n \n \nPreferred Experience 🚀\n· 공학 및 비지니스 학위 (석/박사 or MBA)\n· 통계 분석을 위한 R/SAS 활용 역량\n· Hive, Presto, Airflow\n· 데이터 시각화 (예: Tableau, Qlik, Looker, Power BI)\n· 자연어 (NLP) 처리 경력 우대\n· 영어 능통자 우대\n
\n

전형절차

서류전형 - 홈테스트(과제) - 라이브코딩면접 - 화상면접 - 최종 합격

전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동 될 수 있습니다.

전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고사항

본 공고는 모집 완료 시 조기 마감될 수 있습니다.

지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.

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직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.

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고용형태는 정규직으로 수습기간 12주를 포함한다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다.

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서류반환정책

본고지는 『채용절차의공정화에관한법률』제11조제6항에 따른 것 입니다.
당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

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About our group:

Operations Quality & Analytics (OQ&A) helps protect and improve Seagate’s Total Customer Experience. We develop, deploy, and sustain end-to-end quality analytics and processes to provide trusted, actionable information enabling earlier detection and prevention of HDD issues. The OQ&A Tool & System Development Team supports function teams in both data analytics and tool/system development.

About the role - you will:

• Collaborate with functional teams to design and create applications/tools to support end-user analytics needs
• Collect, process, and prepare data to support decision-making through our applications/tools.
• Improve and modify existing tools to meet evolving stakeholder requirements, including latent reduction, report automation, and new visualization features
• Design and implement agentic AI components to support dynamic query generation, autonomous analyze data, report creation, and intelligent alerting
• Develop AI agents capable of interacting with users, adapting to feedback, and improving analytics workflows over time

About you:

• Full Stack Developer: Experienced in building web applications
• Agentic AI: Experience working with large language models (LLMs)
• Self-Management: Able to lead and work directly with end users
• Adaptability: Willingness to learn, adapt to changing requirements, and stay current with new technologies
• English Proficiency: Strong communication skills in both speaking and writing

Your experience includes:

• Bachelor’s or higher degree and/or relevant experience
• Programming: Python, Java, R
• Front-End: React, Vue.js
• Back-End: Node.js, Django, Flask, Flakes.js
• Web Development: HTML, CSS, JavaScript, TypeScript
• Prompt Engineering: Designing effective prompts for autonomous agents
• Databases / Big Data: Oracle, PostgreSQL, Trino
• Statistical Analysis
• Unix Fundamentals

Location:

Our Korat facility is our largest manufacturing site worldwide, with more than 10,000 employees. Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.
Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.

Location: Korat Thailand
\nTravel: None

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Morgan Stanley

Data Scientist - Vice President - Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as (Vice President) as a Data Scientist. The Data Scientist is a crucial pillar in our organization, translating complex problems into actionable insights through the power of data. You will collaborate with cross-functional teams to analyze large datasets, build predictive models, and develop data-driven solutions that enhance strategic decision-making and drive organizational growth. Our ideal candidate is curious, creative, and passionate about leveraging statistical and machine learning techniques to solve real-world challenges. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We are also looking for candidates who aspire to contribute to the broader data architecture community and become thought leaders in the space. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

Enterprise_Technology

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities

Data & Analytics Engineering

This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

Collect, process, and analyze large volumes of structured and unstructured data from diverse sources. · Develop and implement machine learning algorithms and statistical models specifically aimed at analyzing technology metrics, such as system performance, resource utilization, adherence to technology principles etc there by helping achieve improved resource utilization, boosting system reliability, reducing technical debt etc .
Generate actionable insights to guide strategic decisions and drive improvements in technology operations.
Work closely with business stakeholders to understand their objectives, formulate analytical questions, and translate requirements into data-driven solutions. · Perform exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.
Visualize and communicate findings using compelling reports, dashboards, presentations, and data storytelling techniques tailored to technical and non-technical audiences.
Collaborate with engineering teams to deploy predictive models into production environments and ensure their reliability, scalability, and performance.
Monitor, evaluate, and enhance model performance over time, implementing improvements as necessary.
Stay up to date with the latest research, tools, and best practices in data science, machine learning, and artificial intelligence.
Contribute to a culture of experimentation, continuous learning, and innovation within the organization.

What you’ll bring to the role:

10+ years of being a practitioner in data engineering or a related field.
At least 6 years' relevant experience would generally be expected to find the skills required for this role
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
Strong programming skills in languages such as Python or R; familiarity with SQL and distributed computing frameworks (e.g., Spark, Hadoop) is a plus.
Hands-on experience with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, Keras, PyTorch, or XGBoost.
Proficiency in data visualization tools such as Matplotlib, PowerBI, Tableau.
Solid understanding of probability, statistics, hypothesis testing, and data modeling concepts.
Experience with cloud platforms (e.g., AWS, GCP, Azure) for data storage, processing, and model deployment is beneficial.
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Strong attention to detail, analytical thinking, and problem-solving abilities.

Preferred Qualifications

Experience working on large-scale data science projects or in industry domains such as finance, healthcare, retail, or technology.
Familiarity with MLOps practices, model versioning, and monitoring tools.
Knowledge of natural language processing (NLP), computer vision, or time-series analysis.
Contributions to open-source projects or publications in relevant conferences/journals.
Develop and maintain data pipelines and ETL processes to ensure reliable and scalable data flow where applicable.

Key Competencies

Analytical Expertise: Comfortable working with large datasets, extracting meaningful insights, and interpreting ambiguous data patterns.
Technical Proficiency: Deep understanding of machine learning, statistical modeling, and data engineering principles.
Communication: Excellent written and verbal communication skills, with the ability to present insights effectively to senior leadership and non-technical stakeholders.
Collaboration: Team-oriented mindset, capable of building strong partnerships with colleagues across various departments.
Innovation: Commitment to creative problem-solving and willingness to experiment with novel approaches and technologies.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced
mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.
Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
Adhere to model building policies, standards, frameworks, and governance process.
Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.
Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
Analyse information requirements, availability and quality of data to feed into management for resolution.
Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.
Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
Participate in relevant project related to the business overall analytical needs and opportunities.
Serve as SME for analytics applying own understanding of the operations of the business product or service.
Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
Document and audit relevant processes.
Document and implement models to address specific business requirements.
Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.
Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.
Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.
Utilise data to model complex abstractions in machine learning research to enable deep learning.
Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.
Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.
Conduct Text analytics to examine unstructured data to glean key business insights.
Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.
Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.
Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.
Maintain ownership of models through regular audits and updates to ensure relevance.
Plan and perform regular model updates that capture evolving business complexity in current models.
Challenge current models to ensure relevance and accuracy of outputs.
Test outputs and accuracy of models to ensure relevance.
Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.
Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
Review and assist more junior Quantitative Analysts with processes and models.
Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.
Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.
Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.
Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.
Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
Engage in cross-functional relationships to obtain and to provide work support.
Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
Ensure implementation of relevant policies, governance and practice standards across the business.
Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.
Ensure compliance is adopted in terms of systems and procedures as laid out by business.
Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.
Determine the business questions that need be answered and determine appropriate analytics models for utilization.
Source and prepare relevant data sources for analysis.
Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.
Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.

Requirements:

Honors Actuarial Science, Quantitative Risk Managements, Statistic, Mathematics or similar
Pricing Experience required (at least 2yrs)
Total experience of at least 5yrs in a Pricing/Credit related role
Advanced SAS skills with VBA & SQL preferable
Manage & upskill a team of junior and senior data scientists to contribute to the success of the team.

#post

#fnb

#LI-LH1

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

26/07/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

","hiringOrganization":{"@type":"Organization","name":"FirstRand Corporate Centre","sameAs":"https://www.firstrand.co.za/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FNB Building, 1 Enterprise Road, Fairland, Johannesburg, 2170, South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.

Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.

Here's what an ex-BCG teammate has to say about joining Jerry:

\"The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say \"key,\" I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).

The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.

I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason.\"

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.

Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia","addressCountry":"Georgia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Job Title: Data Scientists (2 positions)

Job Location: 1423 Red Ventures Drive, Fort Mill, SC 29707

Description of Duties:

Two Data Scientists sought by RBUS Inc, a Red Ventures Company, headquartered in Ft. Mill, SC, to build machine learning and data science models with proprietary data to support operations and create lasting impact. Job duties include using algorithms for planning, construct SQL queries within SAP’s ERP, using Appian, working with EDA and utilizing linear programming.

Rate of Pay: $135,000.00 to $150,000.00/year

Minimum Job Requirements:
30 Months of experience in the job offered or a directly related occupation such as Senior Engineer is required and must include: 18 months of experience using regression, optimization and simulation algorithms in Excel to predict & achieve optimal resource allocation and capacity planning; 1 year of experience constructing SQL queries within SAP’s Enterprise Resource Planning (ERP) system to analyze past projects, improving data-driven decisions; 2 years of experience utilizing Exploratory Data Analysis (EDA) to clean, process and summarize data that fueled interactive charts and graphs to facilitate project tracking and informed decision-making; 6 months of experience using Appian to create a mobile app to track material movements and integrate that data with Power BI dashboards for real-time tracking and project monitoring; 1 year of experience using Linear Programming in Excel to optimize vendor selection cost & to build and track KPIs for capacity and quality measures. Telecommuting within the U.S. is permissible.

Applicants are to Respond to: RBUS, Inc., A Red Ventures Company, 1423 Red Ventures Drive, Fort Mill, SC 29707 Attn: HR, Req. #1052.

If you are based in California, we encourage you to read this important information for California residents by visiting https://www.redventures.com/legal/ca-emp-privacy-notice

#LI-DNI

Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice

Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

","hiringOrganization":{"@type":"Organization","name":"Red Ventures","sameAs":"https://www.redventures.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte, NC","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientists provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day. \n

What You’ll Do

Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.
Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.
Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.
Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.
Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.
Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.
Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.
Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.
Document and share best practices for experimentation with cross-functional teams.
Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.
Define and implement data quality checks and standardization procedures for mobile app data.
Advocate for data infrastructure improvements and guide the design of efficient data pipelines.
Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.
Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.
Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.
Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.
Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.

Skills Needed to Succeed

Ability to self-motivate, make independent decisions, and solve problems with innovation.
Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.
Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
Effective at process and organizational management to coordinate, structure, and provide vision to projects.
Strong leadership skills and understanding of developing and guiding others.
A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.
Proficiency in Python or R for data analysis, modeling, and machine learning.
Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.
Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis preferred.
Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer) preferred.
Knowledge of statistical techniques for experiment design and analysis preferred(e.g., causal inference, propensity score matching).
Familiarity with app store optimization(ASO) and mobile marketing analytics preferred.
Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.
Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning.
Experience with machine learning algorithms for classification, regression, clustering, and time series analysis.

Benefits We Offer・ Paid parental leave, including maternity, paternity, and adoption leave.・ Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. ・ Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. ・ Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. ・ Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.・ Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.・ Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment! ・ $160 annually in development dollars for team members to invest in their professional growth. ・ Casual dress and work environment.・ And much more!
Our Beliefs, Culture, and Commitment to DiversityAt Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.","hiringOrganization":{"@type":"Organization","name":"Life.Church","sameAs":"https://www.life.church/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edmond, OK","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Overview

GovCIO is currently hiring for Data Scientist for operational security (OpSec) to enhance an organization's security posture and proactively mitigate threats. This position will be located in Lackland AFB, TX and will be an on-site position.

Responsibilities

Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact. Data Analysis -- Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Data Visualization -- Applies Data discovery and data visualization tools to interpret and present the findings in a compelling and usable manner. Maintains and integrates analytical systems with operational systems, verifies the accuracy of the data and analytics. Interacts with both business and data SMEs.

Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
Using data to improve threat detection, vulnerability assessment, and prevention.
Analyzing large datasets to find patterns and insights that inform cybersecurity strategies
Collaborating with cybersecurity teams to integrate data science models into the security framework is essential.
developing data-driven algorithms and models, often using machine learning for anomaly detection, to identify potential cyber threats.

Qualifications

High School with 6 - 9 years (or commensurate experience)

Required Skills and Experience

Clearance Required: TS/SCI
5+ years of experience in data science, including data analysis, statistical modeling, and machine learning.
Experience with programming proficiency in languages like Python, R, and SQL
Familiarity with security tools like SIEM systems and intrusion detection systems
Strong communication, problem-solving, and collaboration skills

Preferred Skills and Experience

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

What You Can Expect

Interview & Hiring Process

If you are selected to move forward through the process, here’s what you can expect:

During the Interview Process\n
- Virtual video interview conducted via video with the hiring manager and/or team
- Camera must be on
- A valid photo ID must be presented during each interview

During the Hiring Process\n
- Enhanced Biometrics ID verification screening
- Background check, to include:\n
  - Criminal history (past 7 years)
  - Verification of your highest level of education
  - Verification of your employment history (past 7 years), based on information provided in your application

Employee Perks

At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:

Employee Assistance Program (EAP)
Corporate Discounts
Learning & Development platform, to include certification preparation content
Training, Education and Certification Assistance*
Referral Bonus Program
Internal Mobility Program
Pet Insurance
Flexible Work Environment

*Available to full-time employees

Our employees’ unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

Posted Salary Range

USD $120,000.00 - USD $130,000.00 /Yr.","hiringOrganization":{"@type":"Organization","name":"GovCIO","sameAs":"https://govcio.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"JBSA Lackland AFB, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-20","description":"

Do you want to see your data insights directly strengthen the defenses of critical security products?

Do you thrive on dissecting complex data to outsmart sophisticated attackers?

Join our Global Web Security group

Our team is part of the Application Security organization, responsible for the technologies powering Akamai's security products and protecting some of the world's major internet brands. Working in partnership with Global Services, Engineering, and Product teams we help our customers get the best protection against threat actors.

Shape internet security

In this role, you'll play a key part in strengthening security products by analyzing data, addressing customer challenges, and driving product improvements. You'll collaborate across teams to implement solutions, enhance detection accuracy, and provide insights that shape strategy and performance.

As a Data Scientist, you will be responsible for:

Being proactive analyzing large datasets to identify emerging patterns of unmitigated attacks and incorrectly blocked human requests
Resolving customer-reported escalations related to bot and abuse products and implementing corrective tuning
Collaborating with Engineering and Product teams to translate analytical insights into actionable recommendations for enhancing the overall security posture and product capabilities
Engaging with Professional Services and customers to implement product enhancements
Generating regular reports on attack trends, mitigation effectiveness, and key security metrics for stakeholders
Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products

Do what you love

To be successful in this role you will:

Have 0 to 2 years of relevant experience and a Bachelor's degree in Computer Science or its equivalent
Have experience with data analysis for security applications
Have practical knowledge of application security products such as WAF and bot detection
Have experience in SQL and familiarity with Python or similar programming languages
Demonstrate familiarity with Internet protocols including TCP/IP, HTTP, DNS, TLS/SSL
Have great verbal and written communication skills

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.

Learn what makes Akamai a great place to work

Connect with us on social and see what life at Akamai is like!

We power and protect life online, by solving the toughest challenges, together.

At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here.

Working for you

At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:

Your health
Your finances
Your family
Your time at work
Your time pursuing other endeavors

Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.

About us

Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away.

Join us

Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"Akamai Technologies","sameAs":"https://www.akamai.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Description

Shape the Future of Cybersecurity with Us

Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact?

Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers.

This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against today’s most sophisticated cyber threats.

What will you do

As a Data Scientist at Cynet, you’ll play a central role in shaping our future technology. You’ll:

Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production.
Drive innovation by developing and integrating ML and Generative AI solutions into Cynet’s core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management.
Analyze massive volumes of security data to uncover hidden patterns, threats, and insights.
Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics.
Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks.
Conduct rigorous experimentation, explain and monitor the real-world performance of your models.
Write production-ready code that makes it into our deployed AI systems.

Requirements

We’re looking for someone who’s not just a great engineer, but a passionate innovator who puts their soul into solving tough problems and delivering value.

3+ years of experience in researching, developing and delivering ML solutions in production-scale environments.
Solid foundation knowledge of data science, machine learning, and statistics.
Demonstrated analytical thinking and a deep understanding of data - its structure, context, and the insights it can unlock.
Strong Python programming skills with fluency in AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
Expertise in working with large-scale datasets using SQL, Spark, or similar tools.
Proven success translating product or business needs into working AI systems.
Fast learner, creative, and comfortable working in a dynamic startup environment.
Good communication skills, able to explain complex ideas and findings to both technical and business audiences.

Bonus Points (Preferred)

Experience with cybersecurity-related data or product domains.
Hands-on knowledge in working with LLMs and building AI agents.
Familiarity with AWS cloud environment and MLOps (ML Orchestration, Docker, Kubernetes, MLflow, etc.).

Ready to Empower the Future?

At Cynet, you won’t just be another Data Scientist. You’ll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrow’s digital landscape.

If you're ready to dive deep, move fast, and create meaningful impact - we’d love to meet you.

Apply now and let’s build the future of cybersecurity together.

You are

\nNone\n

About Us

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Overview

What do you get when you bring together a team of bright individuals and place them into an environment where “work” means making a difference in the lives of people across the globe?

You get Sciolex Corporation, a fast-growing defense contractor focused on providing the U.S. Government a level of service that surpasses the epitome of excellence. Our core services include systems engineering technical advice, technical support, and administrative assistance. From our humble beginning as a small Service Disabled, Veteran Owned Small Business in Chantilly, VA, Sciolex Corporation is now the home for over 1,000 employees across the U.S.

Over the past 18 years, Sciolex Corporation has constructed an environment that celebrates diversity and encourages a positive work/life balance, all while supporting government missions that our employees are proud to be a part of. When you work for Sciolex Corporation, you are working for a stable company that values you and is committed to ensuring you receive the utmost employee care.

Responsibilities

We are seeking a highly motivated acquisition that will provide specialized technical and engineering expertise supporting the acquisition of computer vision (machine learning automated target recognition) software services. The client is tasked with leading the integration of mission-focused tools to foster increased efficiency, automation, and information sharing. You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Provide technical and engineering support to the Government customer to manage computer vision machine learning analytics programs; apply knowledge and experience to develop and scale automatic target recognition models in multiple phenomenologies.
Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway, and efficiency trade-offs against current and proposed/desired cloud-based software system design.
Develop briefings and documentation material to illustrate features, capabilities, and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
Work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers, and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications & Physical Requirements

Active Top Secret/SCI Clearance with Polygraph.
Bachelor's and five (5) years or more experience; relevant experience to be substituted in lieu of degree.
Strong engineering background with knowledge of software architectures and machine learning approaches for computer vision applications.
Domain knowledge in Agile software development practices and Cloud computing architectures.
Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
Demonstrated high level of initiative, creative problem-solving, and critical thinking.
Demonstrated capability and success working in team environments.
Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
Good working knowledge of MS Office applications.

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About the Team

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Morgan Stanley

Data Scientist - Vice President - Data & Analytics Engineering

Profile Description

Enterprise_Technology

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities

Data & Analytics Engineering

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

Generate actionable insights to guide strategic decisions and drive improvements in technology operations.

Work closely with business stakeholders to understand their objectives, formulate analytical questions, and translate requirements into data-driven solutions. · Perform exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.

Visualize and communicate findings using compelling reports, dashboards, presentations, and data storytelling techniques tailored to technical and non-technical audiences.

Collaborate with engineering teams to deploy predictive models into production environments and ensure their reliability, scalability, and performance.

Monitor, evaluate, and enhance model performance over time, implementing improvements as necessary.

Stay up to date with the latest research, tools, and best practices in data science, machine learning, and artificial intelligence.

Contribute to a culture of experimentation, continuous learning, and innovation within the organization.

What you’ll bring to the role:

10+ years of being a practitioner in data engineering or a related field.

At least 6 years' relevant experience would generally be expected to find the skills required for this role

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