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At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.

Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

About The Team

The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You’ll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can’t be built any other way, it’s high-impact work that sets the foundation for the future of additive manufacturing.

About The Role

We are seeking a highly skilled and motivated Data Science Intern to join our dynamic R&D team. You will be responsible for developing and implementing ML models and algorithms that drive advancements in Relativity's Stargate additive manufacturing platform. You will work closely with cross-functional teams such as Simulation, Robotics, and Software to identify and implement ML-based solutions that drive technology development. You will work to understand data from a wide variety of sources in and around the printer and select appropriate model architectures to achieve business goals. You'll be at the cutting edge of large scale additive manufacturing and you'll get to see the solutions you develop implemented in the Stargate platform.

Key Responsibilities:

Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems.
Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements
Collaborate with other team members to deploy ML models into production environments.
Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance.
Communicate effectively with stakeholders

About You

Actively pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related field
Strong programming skills in Python using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong theoretical understanding of machine learning and statistics
Proficiency in statistical analysis, optimization, and data visualization tools.

Nice to Haves but Not Required

Proficiency with collaborative software development concepts such as git, code review, and CICD
Background in the field of Additive Manufacturing
Proficiency with databases and SQL

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.

Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.

Hiring Range:$37—$42 USD

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

The Role

As the Director of Data Science, you’ll lead a team focused on driving top-line growth through data-driven insights across sales, business development, and customer success operations. You will partner closely with leadership to identify new revenue opportunities, optimize sales strategies, and improve customer lifetime value. This role requires balancing deep technical expertise with strategic business thinking, you’ll shape how data science and analytic powers go-to-market execution, partnership development, and client retention.

Your team will own initiatives such as sales funnel optimization, revenue forecasting, pricing and deal modeling, and customer health scoring. You’ll help Flex scale efficiently by turning complex data into actionable strategies that grow revenue and strengthen client relationships.

You Will:

Lead and expand a high-performing team of data scientists and analysts supporting sales, business development, and customer success operations to design data-driven strategies that accelerate revenue growth and expand market share.
Develop and refine forecasting models, pipeline analytics, and sales performance metrics to guide quota planning and execution.
Build frameworks to evaluate partnership opportunities, pricing strategies, and go-to-market experiments.
Design and implement models that predict churn, expansion, and customer health to improve retention and upsell outcomes.
Create and institutionalize best practices for sales experimentation, revenue analytics, and operational reporting.
Serve as a trusted advisor to executive leadership, bringing analytical rigor to strategic decision-making.
Mentor and grow senior technical talent while fostering a culture of collaboration, curiosity, and measurable business impact.

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You Have:

10+ years of experience in data science, advanced analytics, or revenue-focused quantitative research.
7+ years leading data science or analytics teams, including managing managers and scaling functions that support commercial teams.
A proven track record of influencing revenue growth through experimentation, sales optimization, or go-to-market strategy.
Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.).
Experience applying machine learning and predictive modeling to revenue forecasting, customer retention, or sales efficiency.
A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred.
Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders.
A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes.

For working locations in NY/NJ/CA, the base salary pay range will be $ 259,000-274,000

For all other states, the base salary pay range will be $232,000-247,000

This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters

Life At Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

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We offer many employee benefits. For full time, U.S. based employees we offer:

Competitive pay
100% company-paid medical, dental, and vision
401(k) + company equity
Unlimited paid time off + 13 company paid holidays
Parental leave
Flex Cares Program
Free Flex subscription

For full time non-US employees, we offer

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Competitive Pay
Company Equity
Unlimited PTO

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Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

Essential Job Duties

The Senior ML/Data Science Engineer will play a pivotal role in advancing machine learning and data-driven decision-making across the organization. This role partners closely with stakeholders to align technical innovation with business needs, architecting ML systems and frameworks that raise the standard for Business Intelligence. The engineer will design and implement advanced methodologies, collaborate with BI engineers and analysts to build predictive and prescriptive capabilities, and help establish decision-making practices that guide the Data & BI team. Success in this role means delivering ML solutions that are practical, scalable, and impactful, while contributing to a culture of data innovation.

You Will:

Build and maintain strategic partnerships across the organization to ensure ML and BI initiatives align with business priorities.
Architect, design, and implement ML solutions and system frameworks that elevate BI practices.
Develop advanced analytical approaches that strengthen the foundation of the data and BI platform.
Collaborate with BI/Analytics Engineers and Data Analysts to deliver predictive and prescriptive models that enhance decision-making.
Establish decision-making frameworks, processes, and tools that become standard practices for the Data & BI Engineering team.
Stay current with emerging trends in ML, AI, and BI; recommend and apply relevant tools and techniques to improve team capabilities.
Apply MLOps best practices to optimize models for production performance, scalability, and maintainability.
Translate complex technical concepts into actionable insights for diverse technical and non-technical audiences.

What You Need to Get the Job Done

5–7 years of professional experience designing, implementing, and deploying ML/AI systems at scale.
Expertise in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and a strong understanding of their theoretical underpinnings.
Proven ability to develop novel algorithms and approaches for complex problem-solving.
Strong system architecture and engineering skills with a focus on scalability, reliability, and performance.
Experience collaborating with cross-functional teams to translate business needs into technical solutions.
Strong grasp of MLOps practices and experience optimizing ML systems for production environments.
Excellent problem-solving, communication, and stakeholder management skills.
Bachelor’s degree in Business Analytics, Data Science, Computer Science, or a related field.
AI at BambooHR: At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We're actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we're looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI's potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR's impact on setting people free to do great work. Join us in reimagining the future of HR!

What You'll Love About Us

A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our benefits that benefit you

About Us

At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

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BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

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About Mytra

We’re creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We’re applying robotics and distributed software to create a new class of product for this $1T market. We’re focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a “sleepy” industry for decades is now at the epicenter of sustaining the global economy.

Role Overview

Mytra’s Program Management Office is looking for collaborative, high energy PMs to own the design, test, and NPI launch of our robot and AI-powered autonomous material flow systems.

As a Technical Program Manager you’ll deliver cutting edge robotics and automation systems for an early stage start up, collaborating with hardware, software, firmware, AI and robotics engineers to develop our product, as well as manufacturing and supply chain to deliver and scale the design into production. You’ll have the opportunity to own the overall program timeline and drive results across a cross-functional team.

What You’Ll Be Doing

Create the timeline and develop program plan for design execution, R&D build planning, and Engineering, Design and Production Validation Testing of our robot and autonomous systems
Managing the full project lifecycle of product development and will be responsible for improving efficiency, removing roadblocks, and ultimately ensuring the hardware engineering team's success.
Collaborating and communicating with leadership, internal engineering, and external design resources to escalate risks and drive execution
Tracking project progression and initiating corrective actions when risks are identified.

Basic Qualifications

Bachelor's degree in a technical field, or equivalent practical experience
3+ years of experience in product management or related role
Experience using data and metrics to determine and drive improvements
Experience owning program strategy, end to end delivery, and communicating results to senior leadership

The Ideal Candidate

You’re very comfortable developing timelines and driving towards an objective, and have experience with launching a product.
You are excited about working on an immature project, growing together, and shaping the future of the company.
Uncertainty isn’t scary, and you’re willing to realize mistakes and pivot.
You’re familiar with Notion, Jira, Asana or any other task/project management platform. Being well-versed in scrum/agile workflows is a bonus.
You can convey complex ideas and technical concepts to a diverse audience.
Openness, inquisitiveness, and constant ambition are important values.
You have delivered a high-volume product, or worked in manufacturing, factory or warehouse environments

Pay Notice

Compensation for this position will be negotiated based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.

Benefits Include

Competitive compensation + equity grants at a high growth company backed by top tier VCs
Medical, dental, vision, 401(k), commuter benefits, and pet insurance
Lively modern combined office and lab space where we rapidly iterate through design, build and test phases
Lunch and snacks provided in the office; we eat and share stories together at the “long” table
Flexible hours and flexible PTO

A Final Note

You’re encouraged to apply even if you can’t take on every example project in its totality. We work closely and collaboratively at Mytra - No one takes on projects alone. We seek people who are eager to work together, learn new things, and bring unique perspectives.

The pay range for this role is:

150,000 - 190,000 USD per year (Mytra)

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As a Senior Technical Program Manager-Compliance within the Microsoft AI (MAI) organization, you will be part of the Audits Team driving audit readiness across our portfolio of products and services. Your primary focus will be building and scaling processes that ensure MAI achieves and maintains compliance with Microsoft 365 (M365) requirements, as well as Federal regulatory frameworks such as FedRAMP and NIST.

You will collaborate across engineering, compliance, risk, and audit functions to establish readiness frameworks, strengthen control environments, and enable evidence-based compliance operations. You will help define, operationalize, and technically specify processes that simplify audit execution and ensure our teams are prepared to meet complex Federal, regulatory, security, and compliance expectations.

We are hiring for a Senior Technical Program Manager-Compliance to complement the Audits Team’s mission of audit readiness—helping engineering teams anticipate requirements, close gaps, and build scalable systems that reduce risk exposure. The right candidate will have solid technical program management expertise, proven experience with large-scale audits (e.g., SOC2, SOX, ISO, FedRAMP, or internal audits), and a passion for enabling compliance as both a technical and operational enabler.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Responsibilities

Lead audit readiness strategy for MAI services, ensuring M365 and Federal compliance across all phases.
Translate complex regulations (FedRAMP, NIST, SOC, SOX, GDPR) into actionable technical frameworks and controls.
Partner cross-functionally with engineering, compliance, and auditors to implement and monitor control environments.
Design scalable, AI-augmented tooling for evidence management, control testing, and continuous compliance monitoring.
Execute hands-on audit activities, including requirements mapping, evidence collection, and specification development.
Identify and remediate control gaps, driving process improvements and strengthening compliance posture.
Enable teams and advise stakeholders, delivering playbooks, metrics, and guidance for audit prep and regulator engagement.

Qualifications

Required Qualifications:

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
2+ years of experience managing cross-functional and/or cross-team projects.
4+ years’ experience in program managing audits, compliance, or risk management related projects
4+ Demonstrated experience leading large-scale audits (internal, external, or regulatory) from planning through execution
OR equivalent experience
AND compliance frameworks relevant to cloud services (e.g., SOC 1/2, SOX, ISO, NIST, FedRAMP, GDPR, or M365 standards)

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

5+ years’ experience in program/project management, audits, compliance, or risk management.
Experience with audit readiness or compliance enablement in cloud or enterprise services.
Proven ability to translate complex compliance and regulatory requirements into practical, scalable, and technical specifications.
Familiarity with Microsoft 365 compliance requirements.
Background in risk and control frameworks, including RCM design, UCF adoption, and tooling automation.
Audit or compliance certification (e.g., CISA, CIA, CPA, ISO Lead Auditor) is preferred.
Solid influencing, cross-team collaboration, and executive communication skills.

Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 24, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#Microsoftai

RDQ426R282

Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance.

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.

Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.

More information is available at https://www.databricks.com/trust.

The Impact You Will Have:

You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.
You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.
You will create solutions and frameworks to meet compliance requirements at Databricks
You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
You will represent Databricks at academic and industrial conferences and events.

What We Look For:

7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
Understanding of good software engineering practices around testing, code reviews, and deployment.
Experience working in a highly cross functional alignment and talking about results to non-technical partners.
Experience deploying Data Science / ML solutions in production to achieve results.
Coding skills in SQL and a software development language (preferably Python)
Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
Masters or higher in quantitative fields or equivalent experience in industry

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

\nLocal Pay Range$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Company Overview

Before we opened Strive Pharmacy we were unsatisfied with the current state of the pharmaceutical industry. Most of the current pharmaceuticals only offer a one size fits all approach and often come with unwanted and potentially dangerous side effects. We found that through compounding we can offer a much more personalized solution to medicine.

Through this we have been able to help patients get the results they are seeking for their personal needs. After years of working for corporate chains we took the risk and opened Strive Pharmacy. We are dedicated to providing a better experience for each customer and clinic that we work with. Come see the Strive difference.

Our Mission

We’re flipping the script with personal medicine. We strive to interrupt an industry that has been closed to personalized care, accessibility, and nuance for too long. We strive to shift a reactive view of self-care and ignite a proactive baseline-shifting approach to health for all. ‘The human element’ is our crux and catalyst, driving all that we do, whether we’re interacting with patients, providers, or practices. We’re here to partner with those ready for a change. More than a compounding pharmacy, we’re on a mission to positively disrupt healthcare as we know it. Strive is about more than medicine. Strive is about striving for the personal side of healthcare.

Position Type: Full-Time
Salary: $130,000 - $160,000 + 10% annual bonus
Location: Remote (US-Based only)

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Position Overview:

The Manager of Data Science & Analytics will lead a high-performing team in delivering strategic data initiatives that drive business growth and operational excellence. Leveraging SQL, Looker, and dbt on BigQuery, this role will oversee the design and implementation of robust analytics solutions, business metrics, and data science products that empower decision-making across the organization. The Manager will partner closely with business stakeholders to define priorities, translate complex needs into actionable insights, and ensure data quality and governance standards are upheld—particularly in healthcare settings. With a mix of technical expertise and strong leadership, this role will foster innovation, promote best practices, and advance the organization’s analytics capabilities.

Key Responsibilities:

Lead and mentor the analytics team to deliver strategic data initiatives using SQL, Looker, and dbt.
Work proactively with business stakeholders to define, scope, and deliver impactful data solutions that advance business objectives.
Oversee the development, validation, and implementation of business metrics, visualizations, and data science products in partnership with business units.
Champion data quality and promote best practices around data governance and compliance in healthcare settings.
Collaborate closely with Strive’s Analytics Engineering team to reinforce a connected vision and true ownership of our data.

Qualifications:

Bachelor’s or Master’s in Data Science, Computer Science, Analytics, or related discipline.
5+ years working in analytics or data science roles, including proven expertise in SQL, BI Tools (i.e. Looker), and hands-on dbt usage.
Strong proficiency in stakeholder management, cross-functional partnership, and translating business needs into analytical deliverables.

Bonus Qualifications:

Python experience preferred for analysis and automation, especially within analytics pipelines.

Annual Salary$130,000—$160,000 USD

Benefits/ Perks

Strive Pharmacy provides a comprehensive benefits package that encompasses various perks such as employer paid healthcare coverage available after 30 days of employment, the choice of an FSA/HSA, a voucher for new hire scrubs (if applicable), parental leave, a 401(k) plan with matching contributions, and the benefit of weekends and holidays off. FREE COMPOUNDED MEDS to employees and immediate family members.

Culture

At Strive, culture plays a fundamental role in shaping our workplace atmosphere. Beyond our exceptional benefits package, we foster a sense of community. Throughout the year, we arrange various holiday potlucks and festive celebrations. Strive is committed to promoting both personal and professional development, striving for our employees to excel and grow in every aspect of their lives, both within and outside of the workplace.

Eeo

Strive Pharmacy is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics as outlined by federal, state or local laws.

Disclaimer*** Please do not call the pharmacy location with questions about your application or interview. A talent acquisition partner will reach out to you.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As part of the Data Science and Engineering team, you will help grow the reach and scope of Tenstorrent's data engineering and data science workflows, including batch processing, streaming, metadata management, and machine learning. The ideal candidate for this role excels at building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure. You have experience with writing Python data processing code and working with SQL databases. You are excited to learn how to work with a lean and modern data stack to build data pipelines and insights, supported by experienced data engineers and data scientists.

This role is on-site, based out of Toronto, Canada; Austin, Texas or Santa Clara, California.

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Responsibilities:

Design and implement end-to-end data pipelines to process batch data at small to medium scale, employing cutting-edge data processing and orchestration methodologies, including distributed computing solutions when applicable.
Support collaboration with data producers and data consumers to identify product requirements and structure effective implementation of solutions.
Contribute to IaC for the data platform.
Support data consumers with insight generation using our curated datasets and dashboarding tools.

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Experience & Qualifications:

Excellent Python programming skills, with a focus on data processing.
Strong SQL skills.
Experience designing data models and working with SQL databases.
Experience working with time-series data.
Experience with dashboarding and visualization tools, such as Apache Superset, Grafana, etc.
Comfortable using Agile development methodologies and industry standard software development lifecycle processes (Git, Github, Jira).
Experience with Apache Airflow nice to have.
Familiarity with IaC technologies (such as Terraform) nice to have.

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Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

","hiringOrganization":{"@type":"Organization","name":"Tenstorrent","sameAs":"https://tenstorrent.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Ontario, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Technical Program Manager","datePosted":"2025-09-19","description":"

Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft’s core cloud platforms and services that millions of people use every day. With more than 95% of Fortune 500 business on Azure, 180 million using Office 365, and millions using other services – all running on Microsoft's cloud infrastructure – CO+I builds and operates the foundation upon which Microsoft’s mission to empower every person and organization comes to life.

We are looking for a Senior Technical Program Manager to help build the most reliable & efficient datacenter infrastructure on the planet. The CO+I Global Unified Technology Systems (GUTS) team delivers end-to-end systems, business intelligence, and automation to support Microsoft’s Core Datacenter Services (CDS) team. CDS is helping to drive CO+I’s transition to a Customer centric, data driven, live service culture.

As a Senior Technical Program Manager on our team, you will not only work on the lates in cloud computing, but you will be hands-on transforming Microsoft’s most critical business through investigation, data analysis, and automation.

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.
Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location.
This role is eligible for hybrid or remote work, up to 3 days.

Responsibilities

Defines and communicates the product strategy including the overarching scope, prioritized requirements, business goals, and outcomes to be delivered
Leads defining and driving the vision of an integrated system that supports end-to-end service delivery for multiple stakeholders
Analyzes multiple technical solutions and determines the best option for delivering on the objective key results of the business
Uses experience to identify and resolve platform, system, deployment, and environmental issues prior to production to ensure on-time release and successful customer adoption
Monitors and evaluates results to ensure outcomes are met successfully; reports clearly, concisely, and consistently with stakeholders on progress and as well as problems and solutions all the way up to the executive level
Implements and manages risk when necessary to meet project objectives and key results
Triages problems and prioritizes resolution effectively against the backlog of items with engineering
Provides leadership within the business by developing innovative methods for measuring the customer experience, and uses this data to identify and drive improvements

Qualifications

Required/Minimum Qualifications:

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
2+ years of experience managing cross-functional and/or cross-team projects.
3+ years’ experience working in environments that use cloud technologies.
3+ years’ building solutions with software to support operations of the business.
OR equivalent experience.

Background Check Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional Or Preferred Qualifications:

Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development
6+ years of experience managing cross-functional and/or cross-team projects.
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
1+ years experience in data center operations (IT or Critical Environments)
Certification or equivalent experience applying Lean, Six Sigma, PMI, PMP, or other process improvement and project management methodologies. Experience with other applicable frameworks also a plus.
Ability to facilitate change management. Awareness of IT Service Operations fundamentals (ITIL, MOF, OLA/SLA, CSI, etc.) an added benefit.
Previous experience with MS Cloud Services and Platforms (e.g. Azure, Office 365, Dynamics 365, Microsoft Power Platform, Azure DevOps, etc.).
Experience with reporting and data analysis systems & platforms (e.g. PowerBI).
Experience with developing and implementing organizational frameworks, standards, and processes.
Excellent communicator that can interact with diverse groups across organizational levels.
OR equivalent experience.

Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 3, 2025.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#Coicareers

#Epccareers

#Dcdcareers

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Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

Essential Duties And Responsibilities:

Technical Program Management Excellence

• Lead cross-functional programs spanning Legal, IT, and Information Security domains • Define scope, success metrics, and roadmaps while overseeing end-to-end execution • Manage vendor relationships and influence system roadmaps to meet Legal organization needs • Facilitate technical requirements and maintain well-defined roadmaps with senior stakeholders

Legal Technology Leadership

• Serve as in-house expert on legal technologies (CLM, document automation, AI tools) • Collaborate with IT infrastructure, development, and testing teams on releases and upgrades • Stay current on legal tech trends and vendor roadmaps to inform IT strategy

Support & Adoption Enablement

• Provide L2/L3 support including onboarding, user provisioning, and workflow troubleshooting • Lead live demos and training sessions for new technology adoption • Develop user guides, training materials, and internal documentation • Drive technology adoption through targeted communications and engagement

Innovation & Change Management

• Continuously identify automation and innovation opportunities in legal operations • Track system usage, impact, and satisfaction metrics • Lead organizational change management initiatives, both tactical and strategic

Qualifications

Required:

8+ years in legal business consulting, legal technology innovation, or legal managed services • Strong technical program management with large-scale legal operations projects • Executive stakeholder relationship management • Deep knowledge of legal systems (contract management, e-discovery, compliance platforms) • Legal industry process expertise (regulatory compliance, M&A, IP management, data privacy) • IT systems administration and L2/L3 business support experience • Information security acumen and organizational change management skills • Vendor management and coordination experience
Education: Bachelor's required; JD, MBA, or Master's preferred
Relevant Certifications: CLOC/ILTA/ACC, CIPP/CIPM/CIPT, PMP, CISA/CISM/CISSP, Agile, Lean/Six Sigma

Additional Information

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 12/19/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application

#Li-As1

Compensation & Benefits Details

An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
You will be eligible to be considered for bonuses under either Western Digital’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital’s Standard Terms and Conditions for Restricted Stock Unit Awards.
We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email compliance@wdc.com.

","hiringOrganization":{"@type":"Organization","name":"Western Digital","sameAs":"https://www.westerndigital.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine (Preferred) or San Jose, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Data Science Intern","datePosted":"2025-09-19","description":"

The Role

Pason is seeking a Data Science Intern in our Research team for a 16-month internship from May 2026 until August 2027. You will use your strong analytical and programming skills to extract meaningful insights from IoT-based sensor data. Your responsibilities will include developing data analytics, signal processing, machine learning, and control loop algorithms. You will work with a talented group of algorithm and control system designers in an applied research setting.

This is an opportunity to learn how data science works in a real-world industrial application.

Essential Duties And Responsibilities

Design algorithms which clean, aggregate, and analyze data from industrial process sensors for the purposes of performance analysis, event detection, and process optimization.
Design, test, and deploy standalone and web-based software applications for data analytics.
Design real-time signal processing and control loop algorithms and test their performance on historical sensor data as well as live field trials.
Learn state-of-the-art machine learning techniques and perform experiments to determine how they are best applied to petroleum oilfield data.
Work with Pason account managers to solve mathematical and statistical analysis problems for high-priority customers.
Learn and use the following technologies: Matlab, Python (ML and dashboarding libraries), Java, GIT, AWS, SQL databases, HTML/CSS/JavaScript, and web frameworks.
Participate in team technical discussions, research paper reviews, and propose novel ideas to solve challenging engineering problems.
Present product prototypes to sales, engineering, and/or management teams.

Knowledge, Skills, And Abilities

Programming languages such as Matlab, Python, Java, and SQL
Python dashboarding libraries such as Streamlit and Plotly Dash
Machine learning, signal processing, and control systems
Statistical analysis and data visualization
Database architecture, development, and management

Hybrid Work Environment

This position allows the opportunity for an employee to work in a hybrid environment where a portion of their role is in the office and the other portion remote.

Education

Currently enrolled in 3rd year studies in Electrical, Computer, Software or Geomatics Engineering, Computer Science, or related fields

Pre-Employment Conditions

· Completion Of A Satisfactory Criminal Record Check

This job posting closes October 15, please ensure you have your application in before the deadline.

","hiringOrganization":{"@type":"Organization","name":"Pason","sameAs":"https://www.pason.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Calgary, Alberta, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Internal Audit – Apprenti Data Science / IA","datePosted":"2025-09-19","description":"

L’Audit Interne de Natixis CIB assure le contrôle indépendant de l’ensemble des métiers de notre Banque d’Investissement (Natixis CIB) et des fonctions support de GFS. C’est un point de travail idéal dans l’organisation pour découvrir le fonctionnement et les activités. En nous rejoignant, vous intégrez une équipe spécialisée sur les activités de marché et de financements basée à Paris, Londres, New-York et en Asie, rattachée directement au CEO de GFS.

Au sein de l’Audit Interne CIB, votre rôle sera clé notamment car vous serez le point de contact Data / IA de la Direction avec les différentes équipes / initiatives sur ces sujets. Vous aurez la chance de participer à proposer et construire le cadre cible de notre fonction sur ce sujet.

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En nous rejoignant, vous vous garantissez

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L’acquisition d’une vision transverse des différents métiers d’une grande banque sur les activités de marchés (des fonctions de trading aux fonctions risques & Ops)
La capacité de mettre en application vos compétences Python et appétence IA/ML pour transformer notre métier
L’accès à de nombreuses formations / développement d’expertises métiers pointues (semaine de formation systématique tous les trimestres)
Des perspectives multiples à l’issue d’un parcours qui vous permettra d’approfondir vos compétences initiales mais également de compléter votre CV de compétences métiers recherchées.

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Profil

• bac+3 > +5 école ingénieur, université …

• Team Player.

Curieux(se), pro-actif(ve) et aimant prendre des initiatives.
Autonome, rigoureux, structuré.
Connaissance R, VBA, SQL.

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Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking and capital markets services to corporations, financial institutions, financial sponsors and sovereign and supranational organizations worldwide.

Our teams of experts in close to 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. Natixis CIB is committed to aligning its financing portfolio with a carbon neutrality path by 2050 while helping its clients reduce the environmental impact of their business.

As part of Groupe BPCE, the second largest banking group in France through the Banque Populaire and Caisse d’Epargne retail networks, Natixis CIB benefits from the Group’s financial strength and solid financial ratings (Standard & Poor's: A+, Moody's: A1, Fitch Ratings: A+, R&I: A+).

","hiringOrganization":{"@type":"Organization","name":"Natixis Investment Managers","sameAs":"https://im.natixis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Technical Program Manager","datePosted":"2025-09-19","description":"

Senior Technical Program Manager

We are seeking an experienced and highly motivated Technical Program Manager to join our growing team. This role requires an individual with strong technical acumen and a passion for leading cross-functional teams. As a key member of our program management team, you will be responsible for overseeing a large program (with multiple concurrent projects within), ensuring the dependency mapping, resource allocation, and timelines are at the forefront of any and all decision making. The ideal candidate will have experience managing technical initiatives, collaborating with engineering teams, and driving the successful delivery of SaaS products.

Responsibilities

Guide technical programs and projects from initiation to completion, ensuring alignment with company goals and priorities.
Continuously look for ways to improve and streamline processes and overall team collaboration within the Product Development team.
Collaborate with cross-functional teams, including engineering, product management, and design, to define clear project objectives, requirements, and deliverables.
Work with engineering and product to maintain detailed project plans, timelines, and roadmaps to track progress and ensure projects are delivered on time and within scope.
Identify and mitigate risks and obstacles that could impact project delivery, ensuring timely resolution through effective communication and problem-solving.
Drive the execution of Agile development processes, working closely with engineering teams to ensure iterative progress.
Guide the team on best practices for regular project meetings, including stand-ups, sprint reviews, and retrospectives, to ensure clear communication and transparency across teams.
Manage project dependencies, including coordinating with other teams and stakeholders to ensure alignment and resource allocation.
Report on program status, including key milestones, risks, and issues, to senior leadership and stakeholders.

Required Qualifications And Skills

8+ years of experience in technical program management or project management, preferably in a SaaS or technology-driven environment.
Proficient in JIRA administration, workflow management, schema updates, and general hygiene.
Strong understanding of software development life cycle (SDLC), Agile methodologies, and project management best practices.
Proven ability to manage complex, cross-functional projects and drive them to successful delivery.
Excellent communication and interpersonal skills, with the ability to build strong relationships with technical and non-technical stakeholders.
Experience working with engineering teams and understanding of software architecture, development tools, and technologies.
Strong problem-solving skills with the ability to navigate complex challenges and provide actionable solutions.
PMP, CSM, or other relevant certifications are a plus.
Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

Preferred Skills:

Experience working in a SaaS company or with cloud-based technologies.
Familiarity with DevOps practices and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Experience working with teams across multiple timezones.
Exposure to managing international or distributed teams.
Familiarity with data-driven decision-making and analytics.

About Us

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

\n","hiringOrganization":{"@type":"Organization","name":"Sumo Logic","sameAs":"https://www.sumologic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Associate Consultant, Data Science","datePosted":"2025-09-19","description":"This Opportunity\n

Provides support to technical staff, engineers, and project managers for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with research and providing information and analysis as it applies to finances, productivity, sales, clients, forecasting knowledge, industry behavior and trends, and/or business decisions. Generates accurate and concise reports and documentation regarding assigned project specifications. Ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.

Your Impact\n

With minimal supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from the field work, surveys, blueprints, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project.
Assist with the development of technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
Work with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
Collect and review data throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
Assist with preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
Assist with the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
Triage client requests to ensure project success to include completion in time and for the results to be useful.
Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
Assist with professional deliverables on projects and business development proposals.
Complete training on assigned tasks.
Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
Perform additional responsibilities as required by business needs.

Who You Are\n

Required Qualifications

Bachelor’s Degree in Math, Data Analysis, Accounting, Finance or related field.
1 to 3 years of relevant post education experience working as a data scientist/analyst.
Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
Familiarity with computer programing databases, coding and testing (e.g. SQL).
Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
Competent interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
Competent self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
High level of mathematical acumen.
Familiarity with statistics and predictive models.
Proficient with Microsoft Excel.
Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek.
Occasional travel may be required depending on project-specific requirements.
The selected candidate must have the ability to work in the United States immediately.

Preferred Qualifications:

Prior experience within the engineering consulting industry is preferred.

Wsp Benefits:

WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.

Compensation:

Expected Salary (all locations): $80,000 - $111,650

WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.

\n\n\nAbout WSP\n

WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals. WSP USA designs lasting solutions in the buildings, transportation, energy, water and environment markets. With more than 15,000 employees in over 300 offices across the U.S., we partner with our clients to help communities prosper.

Www.Wsp.Com

WSP provides a flexible and agile workplace model while meeting client needs. Employees are also afforded a comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings focused on providing health and financial stability throughout the employee’s career.

At WSP, we want to give our employees the challenges they seek to grow their careers and knowledge base. Your daily contributions to your team will be essential in meeting client objectives, goals and challenges. Are you ready to get started?

WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer Race/Age/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disability or Protected Veteran Status.

The selected candidate must be authorized to work in the United States.

Notice To Third Party Agencies:

WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

","hiringOrganization":{"@type":"Organization","name":"WSP","sameAs":"https://www.wsp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, WA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"AI, Data Science & GenAI: Nuove Opportunità di Carriera al Nostro Evento","datePosted":"2025-09-19","description":"

Bip Group ti invita ad un evento esclusivo dedicato al mondo dei Big Data, dell'Intelligenza Artificiale e dell'AI Generativa: un’occasione unica per esplorare le tecnologie che stanno trasformando il mondo del lavoro e scoprire le competenze più richieste per affrontare il futuro con consapevolezza. Se sei un/a professionista o un/a giovane talento appassionato di questi argomenti, cogli l'opportunità di incontrare il nostro team e scoprire le prospettive di carriera che offriamo.

Cosa Ti Aspetta?

Un'occasione unica per confrontarti con i nostri partner e i professionisti di Bip Group.
Incontra il nostro team HR per discutere le opportunità lavorative e i percorsi di crescita all'interno del nostro gruppo.
Partecipa a sessioni e discussioni su progetti innovativi nel settore Data & AI.

Non perdere l'opportunità di espandere il tuo network, acquisire nuove conoscenze e scoprire come la tua passione possa trasformarsi in una carriera di successo con Bip Group.

L'evento si terrà presso la sede di Bip di Bari in via Venezia 13, mercoledì 22 Ottobre dalle 9.00 alle 17.00.

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L’opportunità è rivolta anche a candidati appartenenti alle categorie protette ai sensi della Legge 68/99.

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Candidati se vuoi partecipare!

Ti Aspettiamo!

","hiringOrganization":{"@type":"Organization","name":"BIP","sameAs":"https://www.bip-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bari, Puglia, Italy","addressCountry":"Italy","addressRegion":"Europe"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Science Senior Associate - Connected Commerce","datePosted":"2025-09-19","description":"

Join our Connected Commerce Analytics team and unlock opportunities to shape the future of data-driven decision making. As a Cross Commerce Data Science Senior Associate, you will drive impactful analytics projects, collaborate with diverse teams, and deliver insights that fuel business growth. Experience career mobility, develop your skills, and contribute to innovative solutions that enhance customer engagement. Be part of a team where your expertise makes a difference and your ideas are valued.

As a Data Science Senior Associate in the Connected Commerce Analytics team, you will generate actionable insights to drive portfolio growth, inform product design and marketing tactics, and enhance the customer experience. You will work closely with Product Owners, Strategy Leaders, and cross-functional teams to uncover opportunities for greater cross commerce connectivity. Your work will help shape the analytics strategy and deliver measurable impact to the business. We value your ability to solve complex problems and communicate findings effectively. Join us to make a meaningful contribution to our team and the wider community.

Our team supports advanced analytics projects across various functions, channels, and products. You will have the opportunity to work on innovative solutions, optimize customer lifecycle strategies, and develop key performance indicators for executive decision-making. We foster a culture of creativity, collaboration, and continuous improvement. Your role will be pivotal in driving analytics excellence and supporting compliance with regulatory requirements.

Job Responsibilities

Lead analytical projects, developing, planning, and executing both individually and in teams.
Manage evolving requirements and ambiguity with strong problem-solving and client engagement skills.
Partner with Product, Strategy, Technology, and Design teams to prioritize analytics roadmaps.
Integrate data discoveries into business operations.
Synthesize findings and present actionable recommendations to senior executives.
Deliver practical data insights in a compelling manner.
Analyze, measure, and optimize customer marketing investments and tactics across multiple channels.
Apply advanced analytics capabilities such as test design, modeling, NLP analysis, segmentation, and optimization.
Define business KPIs and measurement frameworks.
Develop dashboards, reports, and visualizations for executive consumption.
Ensure compliance with established controls and regulatory requirements in all analytics activities.

Required qualifications, capabilities, and skills

Bachelor’s degree in a quantitative field such as Statistics, Math, Economics, Finance, Operations Research, Data Science, or Physics.
Five years of experience in business analytics roles including digital, customer, marketing analytics, sales analytics, or business insights.
Proficiency in SQL, Snowflake, R, Alteryx, and Tableau.
Exceptional analytical, technical, and statistical skills.
Ability to synthesize diverse information, develop strategies, and make decisions.
Superior written and oral communication skills.
Ability to convey complex information simply and clearly to senior business leaders and diverse audiences.
Strong time-management skills and ability to manage multiple projects.
Ability to prioritize work across multi-disciplinary teams.
Strong financial and reporting acumen with understanding of key drivers of credit card profit and loss.

Preferred qualifications, capabilities, and skills

Master’s degree in a quantitative discipline or MBA.
Considerable background in consumer segmentation, customer profiling, and data mining.
Experience in financial services.
Demonstrated adaptability and emotional intelligence.
Strong conflict resolution skills.
Ability to align diverse views and influence cross-functional teams.
Self-starter with out-of-the-box problem-solving skills.

\n\n

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n\n

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.

\n\n\n

Equal Opportunity Employer/Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus, OH, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Director, Operations Research & Data Science","datePosted":"2025-09-19","description":"

Job Summary:

Leader of the labor optimization forecasting and optimization team developing and implementing the vision to modernize processes used to plan and schedule labor across UDX. This involves integrating advanced analytical methodologies and technological capabilities, including the introduction of advanced forecasting methodology, optimization modeling, introduction of new data features to improve accuracy, and maintaining an analytics tool kit for labor optimization. Responsible for researching industry trends, developing strategies, and implementing advanced technologies. Develops the strategy and supports execution of forecasting and optimization improvements across other divisional teams across UDX. Focus areas include workforce planning, demand forecasting, operations research, and guest throughput and experience. Deliver findings through visual tools and presentations that inform and inspire internal stakeholders to make better business decisions. Partner with client groups across UDX and other divisions to identify, plan, and implement enhancements, incorporating feedback to improve accuracy and processes.

Major Responsibilities:

Lead a team of Data Scientists and Data Science Engineers, while also individually participating in formulating and applying advanced analytical approaches for developing workforce planning, forecasting, operations research, and optimization models across all divisions and parks. Identify, prioritize, and lead and manage efforts to implement advanced model development and optimization techniques across various team verticals and parks. Ensure that all developed code is documented for scalability and future reference, and that it meets UDX requirements. Direct multiple, concurrent complex projects, document progress, and provide regular status updates to executive management.
Research new operations research and optimization methodologies to improve accuracy and generate incremental business gains in EBITDA, TSAT, or GSAT metrics. Develop strategies to effectively utilize Operations Research tools and processes, integrating enhancements into long-term roadmaps and plans. Anticipate and communicate changes in the workforce planning and labor optimization landscape to the labor transformation team, ensuring the Workforce Analytics System evolves to address these changes. Partner with the labor transformation team in developing new functionalities needed to support new strategies by providing leadership in one or more of the following areas: full life cycle of iterative big data exploration (including algorithm development and data cleansing), algorithm and system testing, or insight generation/visualization.
Establish key performance tracking metrics and monitor ongoing forecasting performance to improve accuracy rates annually. Validate and optimize workforce planning models, process assumptions, and settings on an ongoing basis. Add, test, and adjust new model enhancements to improve the accuracy of recommendations. Communicate results to executive stakeholders and business partners, incorporating feedback to improve performance.
Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
Performs other duties as assigned.

Education:

Bachelor’s and Master’s degree in Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics or equivalent is required.
Ph.D. degree is preferred.

Experience:

10+ years of experience in the field of operations research, optimization, Data Science.
7+ years of using Python and SQL minimizing data usage when creating large scripts and in accordance with company policy, clean and aggregate large data sets, and applies data to drive operational insights.
Experience in machine learning forecasting algorithms and expertise in advanced analytics required.
Track record of automating and optimizing processes in tight collaboration with operators and BAIE teams to drive efficiency.

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Your talent, skills and experience will be rewarded with a competitive compensation package.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.

Universal Orlando Resort. Here you can.

","hiringOrganization":{"@type":"Organization","name":"Universal Orlando Resort","sameAs":"https://www.universalorlando.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Manager of Data Science & Analytics, Buyer","datePosted":"2025-09-19","description":"

Brief Info About Vinted

Vinted is the leading second-hand fashion marketplace in Europe and a go-to destination for all kinds of second-hand items. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.

Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 60 carriers and more than 500,000 PUDO points across Europe to support the delivery of millions of parcels per year.

The Vinted Group, composed of Vinted Marketplace, Vinted Go, and Vinted Pay is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. Its backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.

Information About The Position

As a Manager of Data Science & Analytics (DSA), you will set up and lead a team of Data Scientists. We are currently looking for 2 candidates, for the homepage recommender team in the Buyer domain and the listing upload AI automation team in the Supply domain.

You and your team will be responsible for the discovery, implementation, productionisation and monitoring of new and existing ML models that are integrated into our product and generate value to our members. Your team will own the success metrics and impact estimation of each project through offline and online experimentation. You will be responsible for the delivery management of the data science products in your team, cross-functional collaboration with engineering, product and design, and the growth of individual contributors and the entire team.

You’ll report to the Director of Data Science & Analytics in your domain and work closely with the leadership in your team to ensure smooth collaboration, strategic clarity and timely delivery in your area.

We're looking for someone who thrives in a fast-paced environment and is passionate about the products we are building together. If you're eager to shape the future of data science and analytics in an environment of innovation and collaboration, we invite you to join us on this exciting journey.

In This Position, You’Ll

Lead a team of data scientists
Collaborate with the team to identify and prioritise strategic opportunities for Vinted’s homepage recommender/upload form suggestion systems
Foster a healthy team environment by supporting team members, helping their career growth and through the proactive hiring of new members
Contribute to and own the key performance indicators of the team
Drive measurement of impact through experimentation
Deliver insights to a variety of stakeholders across Vinted

About You

Demonstrable experience leading teams (ideally developing data products) and leveraging data for business impact
Strong interpersonal skills
A good communicator who can present complex topics clearly and persuasively to different audiences
Comfortable with Python and SQL
Experience with statistical analysis and data science techniques, including experiment design, hypothesis testing, metric design and machine learning systems
Excellent written and spoken English
Advantage: Experience in recommender systems or personalisation
Advantage: Experience with a marketplace platform
Advantage: Experience in collaboration with engineering in model productionisation/MLOps

Work Perks

The opportunity to benefit from our share options programme
25 days of paid annual leave
Newest MacBook models
Digital mental and emotional health support and Employee Assistant Program (EAP)
Frequent team-building events
Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
A daily lunch allowance
ClassPass (Gym Membership subsidy)
A personal monthly budget for shopping on Vinted
Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
An NS mobility card
The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
A dog-friendly office

Working At Vinted

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work - We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The salary range for this position is €4283 - €7,883 gross per month.

","hiringOrganization":{"@type":"Organization","name":"Vinted","sameAs":"https://vinted.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vilnius, Lithuania","addressCountry":"Lithuania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Manager of Data Science & Analytics, Buyer","datePosted":"2025-09-19","description":"

Brief Info About Vinted

Information About The Position

In This Position, You’Ll

Lead a team of data scientists
Collaborate with the team to identify and prioritise strategic opportunities for Vinted’s homepage recommender/upload form suggestion systems
Foster a healthy team environment by supporting team members, helping their career growth and through the proactive hiring of new members
Contribute to and own the key performance indicators of the team
Drive measurement of impact through experimentation
Deliver insights to a variety of stakeholders across Vinted

About You

Demonstrable experience leading teams (ideally developing data products) and leveraging data for business impact
Strong interpersonal skills
A good communicator who can present complex topics clearly and persuasively to different audiences
Comfortable with Python and SQL
Experience with statistical analysis and data science techniques, including experiment design, hypothesis testing, metric design and machine learning systems
Excellent written and spoken English
Advantage: Experience in recommender systems or personalisation
Advantage: Experience with a marketplace platform
Advantage: Experience in collaboration with engineering in model productionisation/MLOps

Work Perks

The opportunity to benefit from our share options programme
25 days of paid annual leave
Newest MacBook models
Digital mental and emotional health support and Employee Assistant Program (EAP)
Frequent team-building events
Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
A daily lunch allowance
ClassPass (Gym Membership subsidy)
A personal monthly budget for shopping on Vinted
Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
An NS mobility card
The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
A dog-friendly office

Working At Vinted

Individual Learning Budget

Equal Opportunity

The salary range for this position is € 69,700 - € 114,300 gross per year.

","hiringOrganization":{"@type":"Organization","name":"Vinted","sameAs":"https://vinted.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Manager of Data Science & Analytics, Buyer","datePosted":"2025-09-19","description":"

Brief Info About Vinted

Information About The Position

In This Position, You’Ll

Lead a team of data scientists
Collaborate with the team to identify and prioritise strategic opportunities for Vinted’s homepage recommender/upload form suggestion systems
Foster a healthy team environment by supporting team members, helping their career growth and through the proactive hiring of new members
Contribute to and own the key performance indicators of the team
Drive measurement of impact through experimentation
Deliver insights to a variety of stakeholders across Vinted

About You

Demonstrable experience leading teams (ideally developing data products) and leveraging data for business impact
Strong interpersonal skills
A good communicator who can present complex topics clearly and persuasively to different audiences
Comfortable with Python and SQL
Experience with statistical analysis and data science techniques, including experiment design, hypothesis testing, metric design and machine learning systems
Excellent written and spoken English
Advantage: Experience in recommender systems or personalisation
Advantage: Experience with a marketplace platform
Advantage: Experience in collaboration with engineering in model productionisation/MLOps

Work Perks

The opportunity to benefit from our share options programme
25 days of paid annual leave
Newest MacBook models
Digital mental and emotional health support and Employee Assistant Program (EAP)
Frequent team-building events
Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
A daily lunch allowance
ClassPass (Gym Membership subsidy)
A personal monthly budget for shopping on Vinted
Pension plan with total contribution of 12%, 8% by the Company and 4% by employee
An NS mobility card
The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
A dog-friendly office

Working At Vinted

Individual Learning Budget

Equal Opportunity

The salary range for this position is € 61,800 - € 110,400 gross per year.

","hiringOrganization":{"@type":"Organization","name":"Vinted","sameAs":"https://vinted.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Working Student in Mass Production Semiconductor Data Science (f/m/div.)","datePosted":"2025-09-19","description":"

Company Description

Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – micro-electro-mechanical sensors (MEMS), solutions and systems for smartphone applications, tablets, video game consoles, wearables, and the Internet of things. The sensors enable devices to recognize their surroundings and to transmit the data collected. MEMS are therefore part of the foundation for a networked world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH.

The Bosch Sensortec GmbH is looking forward to your application!

Job Description

During your assignment you will create algorithms to analyse sensor data statistically from mass production and/or laboratory data.
Furthermore, you will create algorithms and pipelines for semiconductor mass production analysis, which includes data mining, statistics analysis and machine learning models.
To predict failures you will create machine learning algorithms.

Qualifications

Education: studies in Computer Science/Data Science or a related technical field with good grades
Experience and Knowledge: experienced in programming and data analysis in Python, SQL, Machine Leaning; big data analysis is an advantage (Hadoop, Spark)
Personality and Working Practice: you have strong analytical and problem solving skills
Work Routine (Office/mobile working): initial 2 weeks in the office for onboarding and later at least once per month office presence
Languages: business fluent in English

Additional Information

Start: according to prior agreement
Duration: 6-12 months – 15 h/week

Requirement for this working student position is the enrollment at university. Please attach your CV, transcript of records, Recommendation letter by previous employer or professor in the data science field, enrollment certificate and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Victor Castro de Morini (Functional Department)
+49 172 177 9939

#Li-Dni

","hiringOrganization":{"@type":"Organization","name":"Bosch Group","sameAs":"https://www.bosch.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kusterdingen, BW, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Data Science Analyst","datePosted":"2025-09-19","description":"

Company Description

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

Job Description

The Compliance & Internal Audit Department (“CIAD”) is looking for a junior data science analyst based in Sofia, with analytical expertise, and ability to understand business processes & risks.

The CIAD has been embedding data analytics across the compliance & audit lifecycle for years, in close coordination with Compliance Monitoring Department (“CMD”), which has been pursuing a dynamic implementation of Continuous Control Monitoring. Our department aims to leverage technology to optimize the performance and the effectiveness of internal auditors, compliance officers and other business functions.

Your role will mainly include the following:

Understand compliance, audit and business processes, risks & control objectives
Define the necessary analytics for the monitoring, identifying the appropriate data for the question at hand
Examine populations of data using various techniques (e.g., descriptive, predictive, prescriptive), and raise potential issues (such as identifying attributes that previously were out of reach, or discerning relationships and correlations that were never visible)
Develop, schedule and document code. This will require having a good understanding of key system databases, group methodologies/policies
Test the results with end users
Continuously monitor key risks
Maintain existing controls
Provide guidance and assistance to our internal clients
Contribute to department improvement initiatives
Build reports & Kpis on activities & results for different committees
Communicate & present achievements to stakeholders
Develop the controls with Python, and/or to translate existing controls from ACL to Python.
Develop machine learning workflows using algorithms in Cardabel

Qualifications

Experience:

Work experience in data analysis and coding is a plus
Coding knowledge and experience with programing languages
Experience using statistical computer languages (Python, R) will be a plus
Technical knowledge of any data analysis tool
Knowledge in math models and machine learning is considered a plus
A drive to learn and master new technologies and techniques

Soft Skills:

Good written & verbal communication skills for coordinating across teams
Good presentation skills
Rigorous, organized
Critical thinking
Flexible, ability to change priorities quickly, and capacity to handle multiple tasks simultaneously
Comfortable working in ambiguous and/or stressful situations
Details and solutions oriented
Ability to understand business processes and to communicate with non-IT people
Ability to work independently with limited supervision

Language

Strong written and oral communication skills in English
Other languages would be most welcome

Additional Information

Diversity & Inclusion
\n
\nLDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.
\n
\nLDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Sustainability
\n
\nSustainable value is at the heart of our purpose as a company.
\n
\nWe are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us

What We Offer
\n
\nWe provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.
\n
\nOur Benefits

25 annual paid leave\n
Flexible working hours\n
Food vouchers\n
Transportation allowance\n
Additional medical & dental insurance\n
Life insurance\n
Sports card with 90/10 coverage\n
Various learning & development opportunities\n
Yearly performance evaluation plans\n
Social clubs & Wellbeing initiatives\n
Team buildings & social events\n
Employee Referral Program

","hiringOrganization":{"@type":"Organization","name":"Louis Dreyfus Company","sameAs":"https://www.ldc.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sofia, Sofia City Province, Bulgaria","addressCountry":"Bulgaria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Technical Program Manager II, Infrastructure, Google Cloud","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor's degree in a relevant field, or equivalent practical experience.
10 years of infrastructure work experience.
10 years of experience in program management.

Preferred Qualifications:

10 years of experience managing complex cross-functional or cross-team projects.

About The Job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $227,000-$320,000 + 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.
The US base salary range for this full-time position is $227,000-$320,000 + 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.

Responsibilities

Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization.
Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide.
Drive measurable program performance gains correlated to execution velocity.
Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kirkland, WA, USA; Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / Head of Sales (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Duisburg, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / CMO (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Porto, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / CTO (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stuttgart, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Part time assistant - Cloud Hosting for Data Science Tools - DTU Bioengineering","datePosted":"2025-09-19","description":"

Are you looking to apply your cloud skills in a research-driven environment?

The Department of Biomedicine and Biotechnology (DTU Bioengineering) is seeking a motivated and technically skilled student assistant to support the development of a cloud-based platform for hosting data science and bioinformatics tools. You will help build a secure and scalable system that enables researchers to share Python scripts and interactive dashboards via AWS. This role offers a unique opportunity to work at the intersection of research, cloud computing, and digital infrastructure.

The job
\n As a part time assistant, you will contribute to the development of a centralized hosting solution for research tools, ensuring secure access, cost efficiency, and reproducibility. You will work with AWS services, GitHub, and authentication systems to support researchers in deploying and maintaining their digital tools.

Responsibilities

Develop a cloud-based hosting system for codes, notebooks and dashboards on AWS.
Build a secure dashboard accessible via SSO and Entra Directory.
Implement cost-effective and scalable hosting solutions.
Document development work to support reproducibility and future maintenance.

Our expectations of you
\n We are looking for a proactive assistant with a strong interest in cloud technologies and research support. You should be eager to apply your technical skills in a collaborative environment and contribute to building infrastructure that supports scientific innovation. We imagine that you are either currently enrolled in a relevant degree program (e.g., Computer Science, Software Engineering, IT), or alternatively have similar experience from prior jobs or personal projects.

Requirements

Experience with cloud development, preferably using AWS from academic or personal projects etc
Familiarity with Python, GitHub, S3 buckets, containers, and App Runner.
Understanding of user authentication and access control (SSO, Entra Directory).
Strong problem-solving skills and attention to detail.
Ability to work independently and as part of a team.
Interest in cloud development and cost optimization.

What we offer in return
\n At DTU Bioengineering, you’ll be part of a committed team working to strengthen research through innovative digital infrastructure. This role places you within DTU, one of Europe's leading research and educational institutions, renowned for its vibrant and internationally recognized environment where innovation, collaboration, and continuous learning are central.

We foster an inclusive and approachable work culture that promotes mutual respect and shared learning. You can look forward to a flexible and collaborative environment where your contributions are valued, and your professional development is supported through meaningful projects. This position offers 8 flexible working hours per week, between 8 am and 4 pm.

Salary and appointment terms
\n The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC), or in accordance with the OAO-S Joint Agreement and the organization agreement for IT employees (Prosa) in the service of the state.

The workplace is DTU Lyngby Campus. Working hours are on average 8 hours per week and can be organized flexibly in relation to holidays, exams, etc. The starting date is 1 November 2025, or by mutual agreement.

Application and contact
Please submit your online application no later than 3 October 2025. Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates.

For more information about the position, please contact Senior Data Strategy Officer, Ajuna Azad, at ajuaza@dtu.dk

You can read more about the department at www.bioengineering.dtu.dk.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

About DTU Bioengineering: The Department of Biotechnology and Biomedicine (DTU Bioengineering) is an international leader in biotechnology and biomedicine. We focus on the needs of the life-science industry and are oriented towards innovation, new companies, and scientific services for the benefit of society. The department has extensive collaboration with national and international research units and industry. DTU Bioengineering has approximately 400 employees, of which 2/3 are scientific staff. The department's address is at DTU Lyngby Campus.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

","hiringOrganization":{"@type":"Organization","name":"DTU - Technical University of Denmark","sameAs":"https://www.dtu.dk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kgs. Lyngby, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"TTT - Data Science - Staff","datePosted":"2025-09-19","description":"

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

\n\n\n\n\n

TAX TECHNOLOGY TRANSFORMATION – Data Science -Staff

EY GDS’s Tax Innovation, Solutions and Technology (IST) group as well as the Tax Tech Transformation (TTT) team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

\n\n

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

\n\n

The Opportunity

EY's GDS IST and TTT team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

\n\n

GDS IST and TTT team works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking Staff to join our Tax Technology practice.

\n\n

Your Key Responsibilities

Apply machine learning techniques to deliver actionable insights
End to end coding using Python, R
Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends
Build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems
Apply standard statistical methods, simulation models and statistical programming as needed

\n\n

Skills and attributes for success

An overall 2 + years of hands-on work experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, deep learning, MS Azure Cognitive Service, regression, decision tree, random forest, classification and clustering, natural language processing (NLP).
Expertise in programming languages such as Python
Strong - programming skills, algorithm development and database management systems
ML projects experience

\n\n

To qualify for the role, you must have

Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.

In AI/ML, you will be involved in development, testing and deployment of AI/ML solutions.

Good To Have

Exposure to cloud (Azure, AWS) would be good to have.
Strong verbal and written communication skills.

\n\n

What we look for

A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment

An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.

Opportunities to work with EY TAS practices globally with leading businesses across a range of industries

\n\n

What We Offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

\n\n

EY | Building a better working world

\n\n

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

\n\n

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

\n\n

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

","hiringOrganization":{"@type":"Organization","name":"EY","sameAs":"https://www.ey.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, IN, 560016","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / CPO (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lille, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / CEO (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nuremberg, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / CPTO (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bergen, Norway","addressCountry":"Norway","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / Head of Engineering (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wuppertal, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Science Co-Founder / Head fo Product (100 % remote) (m/f/d)","datePosted":"2025-09-19","description":"

We are looking to hire ambitious entrepreneurs to start and scale their own startups.

Our Offer:

A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding.
1:1 sparring with unicorn founders on a weekly basis
Community: Access to the top 0.1% of founders, peers and investors
Team building: Hiring top notch talent supported through our network (over 50,000 professionals)
Distribution: Support in reaching product-market-fit and building up a sales force / marketing machine
Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch)

One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.

Tasks

You will own, build, and run your startup in fields such as Data Science
You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
You will receive intensive coaching to make your startup ready to raise millions in funding
You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

Requirements

You are based in Europe or the Americas or open to relocate
You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues
You have excellent communication skills in the English language

Join us and build a €1B+ company with us!

","hiringOrganization":{"@type":"Organization","name":"EWOR GmbH","sameAs":"https://ewor.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Granada, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Internship-Data Science, Global Product and Pricing (Summer 2026)","datePosted":"2025-09-19","description":"

Universal Destinations & Experiences Internship Program:

Applications Close: October 3rd, 2025, at 11:55PM ET. Submit your application as soon as possible – don’t delay!
Summer 2026 Program Dates: Approximately June 2026 – August 2026.

Job Summary:

The Data Scientist Intern will be part of UDX's Global Product and Pricing team. The intern will train under the guidance of a data scientist in price optimization for admissions. The intern will learn end-to-end (systems, models, processes, and business) how admission prices are optimally generated and implemented.

Major Responsibilities:

Learns the process, systems, models, and business rules in the optimization of admissions pricing at Universal Destinations & Experiences.
Prototypes models for forecasting demand and optimizing prices of admissions.
Creates forecasting models at the optimal level of disaggregation and fine-tunes regressors/parameters for optimal accuracy.
Creates optimization models in dynamic programming and fine-tunes parameters for generating actionable price recommendations.
Conducts data analysis and identifies pricing strategies to generate incremental revenue.
Constructs hypotheses to test pricing strategies and implements, measures, and reports on pricing tests.
Practices programming skills in Python, SQL; working with Tensorflow, Prophet, SciPy, NumPy libraries; working in AWS, Snowflake.
Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and Team Member involvement activities.
Performs other duties as assigned.

Minimum Qualifications:

In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Sophomore or above.
Minimum cumulative 2.8 GPA is required.
A transcript is required upon application.

Preferred Skills & Knowledge:

Preferred majors include: Statistics, Operations Research, Data Science, or similar.
Preferred coursework completed: Linear Programming, Mixed-Integer Programming, Probability, Statistics, Machine Learning, or similar.
Preferred modeling skills in forecasting and optimization.
Familiarity with Revenue Management, Dynamic Programming, Price Elasticity of Demand, Tensorflow, Prophet, SciPy, NumPy, AWS, Azure, Snowflake, PowerBI, and/or Excel

Please Note The Following:

This internship will be an in-person experience, based in our Orlando offices.
Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than August 2026.
Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.

\n\n\n

Universal Orlando Resort. Here you can.

\n","hiringOrganization":{"@type":"Organization","name":"Universal Orlando Resort","sameAs":"https://www.universalorlando.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Technical Program Manager","datePosted":"2025-09-19","description":"Microsoft Teams is a unified communication and collaboration platform that combines chat, video meetings and apps and is a widely used and trusted productivity app in the world. Security and Privacy are core to Microsoft’s mission and increasingly critical for our customers.

Microsoft Teams Fundamentals organization is looking for a Senior Technical Program Manager to help us meet our goal of offering the most secure and trusted product. This position requires a passion for technology, growth mindset, technical acumen, data-informed decision making, partner engagement, and most of all: customer focus. If this sounds like something you would like to do, we’d love to talk to you!

What is working on Microsoft Teams like? We’re in a fast-moving environment that lets us explore, iterate and deliver value to customers. Our culture is open, respectful, and empowering. There are ample opportunities to present ideas and work directly with executives and customers to collect feedback. Our colleagues are among the best in the industry and have worked on some of the most successful products in the world. We share an immense passion for the customer and user experiences that surprise and delight the people that use them.  

Responsibilities

Working with security leaders and SMEs to create, manage, and execute the security plans across Teams organization in Microsoft. 
Collaborating with teams across Microsoft Security Organization to help define the state of the art for detection and investigation data.
Identify new opportunities to harden security and reduce risk.
Identify critical metrics and KPIs for program performance and track progress against goals. This will involve diligent follow-up, dashboard creation, status communication, and low-code automation development.
Building strong partnerships with key stakeholders, business leaders, customers, partners, and internal teams, to drive success and achieve business objectives. 
Represent Microsoft in various customer discussions and security forums.

Qualifications

Required Qualifications:

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
2+ years of experience managing cross-functional and/or cross-team projects.
Experience with cloud infrastructure and services.
Experience written and verbal communication/presentation skills.
OR equivalent experience.

Preferred Qualifications:

Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development
6+ years of experience managing cross-functional and/or cross-team projects.
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
OR equivalent experience.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Modelling & Data Science Director","datePosted":"2025-09-19","description":"The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed.

Job Description:

Key Responsibilities

Team Leadership & Management

Lead and manage a team of 5-10 AI engineers, ML engineers, and data scientists

Conduct performance reviews, provide mentoring, and support career development

Foster a collaborative culture focused on innovation and continuous learning

Manage team workload distribution and resource allocation

Technical Leadership

Design and develop AI models and algorithms from scratch. Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction

Provide technical guidance on AI architecture, model selection, and implementation strategies

Review code, ensure best practices, and maintain high technical standards

Drive technical decision-making for AI platform architecture and tooling

Stay current with AI/ML trends and evaluate new technologies for adoption

Project Management & Delivery

Plan, execute, and deliver AI projects from conception to production deployment

Coordinate cross-functional initiatives with product, engineering, and business teams

Manage project timelines, budgets, and resource requirements

Ensure AI solutions meet scalability, performance, and reliability standards

Implement and maintain CI/CD pipelines for ML model deployment

Strategic Planning & Innovation

Develop AI engineering roadmaps aligned with business objectives

Identify opportunities to leverage AI for business value and competitive advantage

Establish engineering best practices, coding standards, and quality assurance processes

Drive innovation initiatives and research into emerging AI technologies

Contribute to AI strategy discussions with senior leadership

Required Technical Skills

Ai/Ml Expertise

Python

Strong background in machine learning algorithms, deep learning, and neural networks
Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, Keras
Knowledge of computer vision, NLP, and statistical modeling techniques

Data Engineering & Infrastructure

Experience with data pipeline development and ETL processes

Knowledge of big data technologies (Spark, Hadoop, Kafka)

Understanding of database systems (SQL, NoSQL, vector databases)

Data preprocessing, feature engineering, and data quality management

Cloud & Devops

Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads

MLOps tools and practices for model lifecycle management

Containerization and orchestration (Docker, Kubernetes)

Continuous Deployment (Cd)

Experience Requirements

8+ years of AI/ML engineering experience with hands-on model development and deployment

3+ years of team leadership or technical management experience

Proven track record of delivering production AI systems at scale

Experience managing the complete ML lifecycle from research to production

Background in both individual contribution and team collaboration

Location:

Bengaluru

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent","hiringOrganization":{"@type":"Organization","name":"dentsu","sameAs":"https://www.dentsu.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"DGS India - Bengaluru - Manyata N1 Block","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Arity - Data Science Advertising Intern","datePosted":"2025-09-19","description":"

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.

The Analytics Team

Advertising data science team in Arity empowers the intelligence and efficiency of Arity Marketing Platform, which enables marketers to find their best customers wherever they are in their journey. Our goal is to empower marketers to reach prospects and display relevant messaging based on how, when, and where they drive. The team is responsible for optimizing the in-house marketing platform for advertisers and publishers, as well as our revenue, throughout all funnels. To achieve this, not only do we need to look for inefficiencies on the platform including individual campaigns, but also how to grow and scale the platform to gain more revenue. This means we need to find a cost-effective way to rapidly deploy, test and iterate algorithms on our platform. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, ad operation team, and other talents to collaborate with to achieve the same business goals

Where good people build rewarding careers.

This Summer 2026 internship is for students currently enrolled in a graduate degree program. This role is responsible for building a proof-of-concept business solution using advanced reinforcement learning in Analytics and Data Science. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to meet business need, new technologies and data sources. If you like the challenge of working on state-off-the-art techniques in advertising, this is the perfect job for you.

Job Description

Research and develop advanced machine learning methods to assess the technical feasibility and potential business value
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., Python, SQL, machine learning libraries)
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Executes on modeling/machine learning projects effectively
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Target Start date: May/June 2026

Job Qualifications

Currently pursuing a PhD degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
Knowledge of reinforcement learning is required from coursework
Familiar with MDP framework such as value, action value function, reward, Monte Carlo methods
Experience with implementing model free reinforcement learning algorithms, especially policy gradient method, including REINFORCE, Actor-Critic methods, Proximal policy optimization
Demonstrated fluency with Python programming and ability to run simulation
Knowledge of programmatic advertising business is a strong plus
Experience with cloud computing services such as Vertax AI, Sagemaker or data warehouse service like BigQuery is a plus

At Arity, great things happen when our people work together.

That’s why when you join our team, we make sure it isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together

Compensation offered for this role is between $20 and $42 an hour and is based on experience and qualifications.

Skills

Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Results-Oriented

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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Job Description

Associate Director Data Science, BIA Vaccines, US

The Associate Director Data Science BIA Vaccines will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch brand strategies, help meet in-line brand growth and commercial objectives.

This hybrid role requires the individual to be an independent contributor as well as be a lead partner in helping to scope, design, and deliver well-defined advanced analytics solutions aligned to business priorities, including leading solutions that are aligned to the DHH top programs The ideal candidate will lead a cross functional insights team that spans data science, market research, data strategy, and measurement.

The preferred candidate should have intellectual curiosity, entrepreneurial spirit, consultative mindset, strong understanding of healthcare & pharma marketing. The person should be able to identify the data, analytics and research needs to define, enable, and inform commercial strategies of our brand and business leaders. This role will require interfacing and collaborating with many teams. The candidate should demonstrate consistently strong leadership skills. The person will have a growth mindset and embody a culture of continuous learning. Effective communication skills are essential for a candidate to be successful in this role.

Colleagues who will thrive in this role are motivated by developing a deep appreciation of pharma secondary data sources and possess an ability to define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights.

Primary Job Function and Key Responsibilities

Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights
Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data and other sources) to drive optimization and improvement of therapy area commercial business strategies
Be accountable for ensuring delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience (routinely keep client base updated on progress)
Establish and manages the continued close relationship with marketing stakeholders
Comprehend the complexity/dependencies between multiple teams, platforms (people, technologies)
Convey intensively with other platform/competencies to comprehend new trends/ methodologies being implemented/considered within the company ecosystem and bring new ideas forward that will enhance analytic capabilities of the organization
Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria
Where applicable, partner throughout the organization to identify, work with and direct the sourcing of externally available data sources based on the business needs, and execution of specific business objectives
Effectively convey and positively influence stakeholders

Minimum Required Education:

A minimum of BS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, or an equivalent scientific/commercial discipline. MBA or Master’s or Doctorate degree in Decision Science, Marketing, Engineering, Public Health, Biological Sciences, Nursing, Pharmacy, Mathematics, Economy, Statistics, Computer Science, Medical Sciences is preferred.

Knowledge | Skills

Work objectively and as a Team member with Integrity | Precision | Accomplishment | Motivational Ambition | Respect
Minimum of 3 plus years of relevant knowledge using data science to deliver measurable impact in commercial pharma landscape.
Knowledge in mining medical claims, consumer data with a strategic/inquisitive mindset and proven record of being able to produce actionable business insights that drive positive commercial results
Well versed with machine learning algorithms like decision tree, random forest, regression, xgboost etc.
Experience in digital marketing, aware of KPI and measures of digital marketing
Providing actionable insights through analytics to commercial franchises brands at various stages of product life cycle (development, launch, maturity, end of life cycle)
Provide guidance, help define tactics and strategies to implement targeting and segmentation scheme using predictive and machine learning models
Ability to extract data from various database tables using tools such as SQL to develop features to be used in analysis including the ability to perform feature engineering
Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R etc.
Comfortable formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of franchise management
Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space
Motivational and ethical stakeholder management and communication skills, along with the ability to convey appropriately and confidently with colleagues from different backgrounds and seniority levels
Effective organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively
Proven track record of successful completion of multi-stakeholder projects necessitating coordination cross-functionally between several departments
Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
Demonstrated ability to integrate and scale digital capabilities across commercial functions
Proficiency in automating machine learning code for scalable deployment
Hands-on experience implementing Generative AI solutions in real-world business contexts
Knowledge of Agentic AI and its application in commercial pharma analytics

Work location: Upper Gwynedd, PA or Rahway, NJ (role will be hybrid and chosen candidate is expected to be in the office at least 3 days/week).

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

Eeoc Gina Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The salary range for this role is

$153,800.00 - $242,200.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

Visa Sponsorship:

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

Hazardous Material(S):

N/A

Required Skills:

Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

10/3/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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Position Summary...

We are seeking a highly analytical and strategic leader to join our team as Director, eCommerce Strategy. In this role, you will leverage data science, advanced analytics, and competitive intelligence to shape Walmart’s eCommerce strategy. You will partner with cross-functional teams—Merchandising, Product, Technology, Finance, and Operations—to benchmark competitors, analyze market dynamics, and design winning customer value propositions (CVPs). Your work will help define Walmart’s eCommerce roadmap, identify opportunities for growth, and position the company as the leading destination for online shopping.

What You'Ll Do...

Our Team

Who We Are: A strategy and analytics team driving Walmart’s eCommerce growth by blending business insight, advanced data science, and competitive benchmarking.

What We Do: We analyze markets, customers, and competitors; develop actionable insights; and translate them into strategic initiatives that drive customer loyalty, business performance, and market leadership.

Why It Matters: Our strategies enable Walmart to deliver the right value, convenience, and innovation—ensuring we stay ahead in a rapidly evolving digital commerce landscape.

What You'Ll Do:

Lead and mentor a team of analytics and strategy professionals, building a culture of curiosity, rigor, and impact.
Develop Walmart’s eCommerce strategy by combining internal data, advanced analytics, and external market intelligence.
Benchmark competitors using techniques such as web crawling, market research, and competitive analytics to identify gaps and opportunities.
Partner with cross-functional leaders to design and refine customer value propositions (CVPs) that strengthen Walmart’s digital advantage.
Translate analytical insights into clear, actionable strategies for senior executives, influencing investment and prioritization decisions.
Monitor and evaluate key performance metrics, competitive positioning, and customer behavior trends to continuously refine strategy.
Collaborate with product, tech, and merchandising teams to align analytics-driven insights with execution.

What You'Ll Bring:

Strong background in data science, advanced analytics, or strategy consulting with demonstrated impact in digital/eCommerce domains.
Proven ability to connect complex analyses to strategic choices and business outcomes.
Expertise in competitive benchmarking, market analysis, and digital retail dynamics.
Exceptional problem-solving and storytelling skills, with experience influencing senior leadership.
Leadership experience managing and developing high-performing, analytics-driven teams.
Advanced degree (MBA, MS, or PhD in quantitative field) preferred; equivalent experience considered.
(Preferred) Experience in eCommerce strategy, retail analytics, or digital marketplace environments.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate on a scale, impact millions and reimagine the future of retail.

Flexible, Hybrid Work

We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is \"everyone included.\" By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field. 2 years' supervisory experience.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN KA BANGALORE Home Office PTPP1, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior Technical Program Manager","datePosted":"2025-09-19","description":"

Job Requisition ID #

25WD91150

Position Overview

As a Senior Technical Program Manager, you’ll work with leaders in engineering, product, and design to manage efforts to make our products more reliable, secure, and trustworthy for customers. You’ll lead programs and projects across our globally distributed 800+ person R&D organization, acting as the glue that holds them together and drives them to the finish line. Excellent collaboration and communication with other product teams and stakeholders within Construction R&D, as well as in other areas of the organization, will be critical for your success. This will ensure that dependencies are understood and managed effectively, and any overlaps discovered are resolved across the Autodesk construction products ecosystem.

You’ll act as a central point of contact for our Centre of Excellence (COEs), helping them understand and adopt organizational standards and practices. These practices will enable teams to track their progress, collaborate across COEs, and gain insight into improving efficiency. Additionally, you’ll work with the COEs to develop tailored processes that help deliver business objectives and continually improve our collective ways of working.A great program manager will be highly organized, communicative, and detail-oriented, with a sharp focus on on-time delivery and efficiency at all organizational levels. Effectively driving responses and actions from a diverse group of stakeholders will be crucial for the success of this role.

Location : Toronto, ON (Hybrid)

Responsibilities

Proactively lead programs and projects to ensure successful delivery and outcomes, leveraging expertise in planning and coordination
Build and maintain timelines, project plans, and communication artifacts (e.g., dashboard reports, and visual documents) to ensure everyone works with the most accurate and up-to-date information
Track and report performance metrics – conduct regular audits of project schedules and task tracking, ensuring this information is integrated into weekly, monthly, and quarterly reporting cadences
Independently identify project risks and blockers, and proactively pursue mitigation and remediation actions
Identify decisions required to move a project forward, determine the decision-makers, and ensure decisions are made and properly documented
Ensure effective collaboration and communication across product teams within the Construction Solutions organization and Autodesk, as well as within the Technical Program Management team
Build and maintain strong relationships with key stakeholders across the company
Own, contribute to, and socialize best practices and tooling standards to improve productivity, communication, and documentation across the R&D organization and with fellow TPMs
Effectively coach product development leads on how to manage project communications and updates independently for projects not directly overseen by the TPM

Minimum Qualifications

7+ years of experience managing complex software projects across multiple teams
Strong background in software development is essential, with knowledge of ERP integrations and experience supporting products on their end-of-life journey being advantageous
Familiarity with standard software engineering methodologies, lifecycles, and development practices, with the ability to apply the appropriate framework to a team’s needs
Proven track record of successfully delivering projects with teams that are remote and/or globally dispersed
A collaborative team player and diplomat with the ability to work effectively with individuals at all levels of the organization. Whether in conversation or email, you communicate thoughtfully and clearly
Experience with Jira and Confluence
When you notice something awry, you take action. Being proactive and taking the initiative comes naturally to you, and you enjoy bringing organization to chaos
You have exceptional time management, organizational, and scheduling skills. Your friends might even believe you have a flying DeLorean parked somewhere
Skilled at managing dependencies with teams that have different priorities

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary Transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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Job Description

Senior Manager- Data Science

At our Company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Senior Specialist– Data Science”

We are looking for a lead within the Forecasting team located in Pune for forecasting tools, methodologies, and capabilities, including demand forecasting automation. You will have an entrepreneurial spirit, an understanding of healthcare & technology, and a demonstrated record of leading delivery teams building forecasting solutions for actionable insights. You are a strong leader, can work independently, and deal well with ambiguity through strong collaboration across the stakeholder community. Adept in leading strategic discussions on capability and innovation projects with diverse stakeholder groups across the organization

Primary responsibilities include, but are not limited to:

Lead the development, implementation, and optimization of forecasting tools and processes.
Design, develop and optimize forecasting capabilities after evaluating forecasting tools, software, and technologies to enhance forecasting accuracy, efficiency, and effectiveness.
Design and implement best-in-class forecasting methodologies and models, leveraging statistical techniques, time-series analysis, and advanced algorithms, as per evolving industry best practices and emerging trends.
Leverage machine learning algorithms, automation, and data visualization to improve forecasting processes and outputs.
Responsible for managing the team delivering monthly forecast at SKU level for all forecastable SKU’s (~5k+ SKU’s) every month for about 70+ markets.
Collaborate across stakeholders – our company, Supply Chain, Human Health, Finance, Country Demand Planners, Regional and Global Demand planners, and senior leadership – to drive automation and centralization of forecasts, ensuring forecast accuracy improves over time.
Leads Storyboarding and presenting analytical findings and visualizations to technical, non-technical and executive leadership audiences effectively.
Manages delivery of forecasting capabilities and tools in a timely manner with allocated resources
Ensures that documentation is created and maintained in line with internal standards
Empowers a growth mindset and inspire a culture of continual learning that strives for greater quality, efficiency, and innovation, ultimately improving team productivity and work product

Qualifications And Skills

Engineering / Management / Pharma post-graduates with 8+ years of experience in the relevant roles; with at least 4–5 years of experience in pharmaceutical strategic or demand forecasting.
Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytics techniques (expertise in AI/ML will be added advantage).
Demonstrated understanding of the pharmaceutical industry, including regulatory requirements, clinical trial data, and various data types such as patient-reported outcomes.
Strong analytical skills, problem-solving abilities, to find and execute solutions to complex or ambiguous business problems; an aptitude for problem solving and strategic thinking.
Strategic thinker who can be consultative, collaborative and “engage as equals.”
Excellent communication skills, capable of presenting analytical findings and using effective storytelling grounded on insights
Proficiency in formulating business questions based on stakeholder insight requirements and experience in developing both machine learning and descriptive algorithms or modeling using such languages as Python, R, SAS, etc.
Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling, and model evaluation is a plus.
Experienced in working with diverse groups, in managing ambiguity.
Excellent business acumen, with the ability to understand business processes and commercial strategies in detail at both global and region/country levels – and translate these into detailed business requirements/questions that power analytics.

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Current Employees apply HERE

Current Contingent Workers apply HERE

Employee Status:

Regular

Relocation:

Visa Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(S):

Required Skills:

Animal Vaccination, Artificial Intelligence (AI), Business Acumen, Business Administration, Business Intelligence (BI), Business Management, Commercial Strategies, Company Due Diligence, Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Demand Forecasting, Emerging Trends, Machine Learning, Natural Language Processing (NLP), Software Development, Stakeholder Relationship Management, Statistics, Strategic Thinking, Veterinary Medicine, Waterfall Model

Preferred Skills:

Job Posting End Date:

10/19/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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Additional Location(s): N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

\n\n

Title: R&D Research Data Science Intern
Division: Active Implantable Systems (AIS)
Location: Arden Hills, MN
Work Mode: Onsite

\n\n\n\n\n

We will consider qualified applicants of all ages who are starting (or restarting) their careers

\n\n

About The Role:

Our R&D engineers are tasked with designing and developing implant products for the Active Implantable Systems (AIS) group. This includes technologies that monitor, support diagnosis and treat irregular heart rhythms, heart failure, and sudden cardiac arrest. AIS provides devices and therapies for a patient’s entire continuum of care, from diagnostic to treatment. This division strives to innovate and create a paradigm shift that can solve unmet clinical needs and change what is possible for patients. 

Your Responsibilities Will Include:

Develop deep learning models to predict cardiac events using ECG and other physiological signals
Apply signal processing techniques to clean, analyze, and interpret biosignals for device diagnostics and monitoring
Support the design of AI/ML algorithms that enhance implantable device performance and patient outcomes
Collaborate with engineers to integrate Python-based tools for data analysis, simulation, and model validation
Contribute to feasibility studies exploring novel diagnostic features for heart rhythm and heart failure detection
Analyze large datasets from implantable devices to identify patterns and inform next-generation therapy development
Work closely with clinical, software, and hardware teams to ensure alignment between algorithm development and device capabilities

\n\n

Required Qualifications:

Masters or Ph.D. student. Must have at least one semester of school left post-internship to qualify.
Working towards a degree in Biomedical Engineering (EE emphasis), Electrical Engineering, or Data Science.
Must be able to start internship on May 18th or 26th, 2026 and work for 12 weeks
Must have reliable transportation to/from work.
Experience using programming languages such as Python, Kotlin, or Java (Python used in this role)
Experience with AI/ML and deep learning-based prediction model development
Experience with testing-related projects in school or work

\n\n

Preferred Qualifications:

Experience working with/studying Electrocardiogram (ECG) and physiological signals using signal processing
Medical device industry experience
Excellent communication and collaboration skills
Requisition ID: 611635
Minimum Salary: $ 42120
Maximum Salary: $ 71552

\n\n\n\n\n\n\n\n\n

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com--will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

\n\n

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

\n\n

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

\n\n

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

\n\n

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identify, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

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About Us:

WEX is a global commerce platform that helps businesses solve operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments.

With over 5,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses.

About The Opportunity:

The Technical Program Management Office (TPMO) is a strategic function of the Technology Innovation & Strategic Operations (TISO) department within WEX. Our mission is to accelerate WEX’s product innovation velocity by optimizing how we deliver technology. We accelerate technology delivery at WEX by optimizing program execution across all technology domains. In this infrastructure-focused role, you will collaborate closely with networking, systems, cloud, and database engineering teams, as well as security and operations partners, to drive alignment and delivery of critical infrastructure projects that underpin WEX’s digital capabilities.

A Technical Program Manager is a key partner to the Technology leaders and their Digital leadership counterparts in driving end-to-end outcomes. You will be responsible for driving delivery on key initiatives within and across Technology Departments. As a Senior TPM at WEX, you will be responsible for enabling your teams and partners to plan, de-risk, and execute critical initiatives while reporting on progress, coordinating across technology teams, and ensuring project financial health. You will play a critical role partnering with Technology leaders and infrastructure teams to drive delivery of complex technical infrastructure initiatives. Your primary focus will be on managing end-to-end programs centered on networking, server administration, database management, cloud infrastructure, and operational reliability. You will lead cross-functional teams to plan, execute, and deliver scalable, secure, and high-performance technical infrastructure solutions that enable business growth and operational excellence, and will assist and coordinate with migrations between tools, processes, systems, and platforms as appropriate.

How You'Ll Make An Impact:

Technical Fluency: Lead complex infrastructure programs involving cloud migrations, data center operations, network architecture improvements, server lifecycle management, and database platform modernization. Collaborate with infrastructure architects, cloud engineers, database administrators, and network specialists to define program scope, milestones, risks, and success criteria. Drive detailed work breakdown structures, execution plans, and multi-quarter roadmaps for infrastructure initiatives. Oversee programs that enhance cloud infrastructure (AWS, Azure, GCP), hybrid cloud environments, and on-premise data center operations to ensure scalability, reliability, and cost-efficiency. Partner with cloud engineering teams to ensure seamless migration, deployment, and operational readiness of cloud services. Coordinate efforts across network engineering and security teams to implement and maintain robust, scalable network infrastructure supporting business continuity and compliance requirements. Manage dependencies related to firewall configurations, VPNs, load balancing, and network monitoring tools.
Program Planning/Continuous Planning: Based on Product and Technology leadership direction and priorities, facilitate ongoing planning sessions to adjust priorities and ensure continuous alignment with business goals within and across your portfolio. This will require close cross-functional partnership with technology team leaders, solution architects, and product partners. Ensure alignment of program increments with overall business goals and priorities. Encourage adaptive planning to respond to changing delivery and project requirements.
Program Management: Own and drive end-to-end technical implementation programs and workstreams as assigned. Your work will be critical to creating operational efficiencies within the organization and to execute against several key strategic focus areas. You’ll create detailed work breakdowns, milestones, risks, success metrics, and deliverables for key initiatives in these areas, and execute multi-quarter roadmaps in partnership with engineering leadership. On an ongoing basis, plan, support and execute against a roadmap of enhancements to these systems, tools, and processes.
Execution Management: In support of the Tech Lead, monitor progress and recommend necessary adjustments to surface risks of program execution to key stakeholders in a targeted and timely way, with the goal of course correction. Facilitate these course corrections, as needed.
Stakeholder and Change Management: Engage with stakeholders - Technology, Product, Solution Architecture, among others - at all levels to ensure visibility, provide updates, and address concerns. Facilitate communication between teams, ensuring transparency and alignment. Provide clear, consistent, and timely information flow and reports out on status. Work collaboratively at the enterprise level to facilitate migrations and enable change to support new ways of working and modern technology architectures.
Risk Management: Identify technical risks related to infrastructure performance, capacity, security, and compliance. Develop mitigation strategies with technical and leadership partners. Escalate to senior leadership as appropriate.
Dependency Management: Identify, document, and manage dependencies across multiple projects, technologies, and teams. Proactively coordinate with stakeholders to ensure that dependencies are clearly understood, tracked, and addressed in a timely manner to minimize risks and avoid delays.
Tooling and Data Hygiene: Accordingly, ensure the use of standard project management tools - ideally within the Atlassian suite - and maintain high standards of data hygiene to ensure data accuracy, consistency, and integrity. Avoid duplication of administrative effort. As a part of Jira stewardship, support accurate and transparent reporting and on-target capitalization within the organization through reporting and partnership.
Delivery and Outcome Tracking: Track program performance against the committed plan and goals. Use data and metrics to drive decision-making and continuous improvement.

Experience You'Ll Bring:

Senior-level experience managing highly complex, interdependent projects.
Strong technical acumen and program management skills to drive execution.
Comfort navigating ambiguity, bringing clarity to cross-functional initiatives.
Proven ability to communicate effectively with senior stakeholders and deliver solutions with lasting value.
Deep understanding of Technical Program/Project delivery involving network protocols, architecture, and operations (e.g., TCP/IP, routing, firewalls, VPNs).
Experience with server infrastructure lifecycle management, virtualization, and operating systems (Linux, Windows).
Familiarity with database administration concepts including high availability, replication, and performance tuning.
Strong knowledge of cloud computing platforms and services (AWS, Azure, GCP), including infrastructure-as-code and cloud security best practices.
Experience with Agile methodologies and project management tools.
Proactive leadership and the confidence to drive complex projects to completion.
A proven ability to motivate and align cross-functional teams.
Excellent communication skills to influence and manage stakeholders.
Experience managing change at an enterprise level.
A strong ability to anticipate and mitigate risks, and to efficiently solve complex problems in partnership with leadership.

Desired Qualifications & Experiences:

Bachelor's Degree or equivalent experience.
Relevant certifications (e.g., PMP, Agile Certified Practitioner).
Previous experience in FinTech or highly regulated environments.

","hiringOrganization":{"@type":"Organization","name":"WEX","sameAs":"https://www.wexinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil Sao Paulo - Remote Office","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Advisor, Data Science","datePosted":"2025-09-19","description":"

Data Science Senior Advisor

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Pricing Analytics Team under Client Solutions Group located in Bangalore.

What you’ll achieve
As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements
•8 to 12 years of related experience
•Solid statistical skills. ML exp, LLM models
•Solid Python Programming
•Good understanding of business environment and industry trends
•Good communication and problem-solving skills and being customer focused

Desirable Requirements
•Bachelor’s degree
•Ability to act as a coach to the team
•Strong product/technology/industry knowledge

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: Aug 20th 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

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Responsibilities:

Data Analysis: Analyze and interpret complex datasets to identify patterns, trends, and anomalies that could indicate security threats
Model Development: Develop and implement predicative models and algorithms to detect and prevent cybersecurity incidents
Threat Identification: Assist in identifying potential cybersecurity threats and vulnerabilities through data-driven insights
Collaborative Projects: Work alongside cybersecurity professionals on real-world projects, contributing to the development of innovative security solutions
Data Visualization: Create visualization to communicate findings and insights effectively to both technical and non-technical stakeholders
Tool Utilization: Utilize various data science and cybersecurity tools and technologies to enhance data analysis and threat detection capabilities
Process Improvement: Assist in developing and refining processes and methodologies for data analysis and threat detection
Continuous Learning: Participate in training sessions, workshops, and seminars to stay updated on the latest development in cybersecurity and data science

Qualifications You Must Have:

Must be a Sophomore, Junior or Senior in college or technical school, with at least 6 months until graduation after end of internship
The ability to obtain and maintain a Secret U.S. Security Clearance is required
Strong skills in Word, Excel, PowerPoint and Visio
Ability to work in a highly collaborative team environment
Strong organization skills and work ethic; detail oriented

Qualifications We Prefer:

Currently pursing a degree in Computer Science, Data Science, or related field
Strong analytical and problem-solving skills, with the ability to interpret and analyze complex data sets
Familiarity with programming languages such as Python, R, or SQL and experience with data analysis tools and libraries
Knowledge of machine learning concepts and experience with relevant tools and framework is a plus
Excellent written and verbal communication skills, with the ability to convey technical information effectively to both technical and non-technical stakeholders
Ability to work effectively in a team environment, demonstrating strong interpersonal skills and collaborative mindset
High attention to detail and a methodical approach to tasks and problem solving
Demonstrated passion for cybersecurity and data science with a strong desire to learn and stay updated on industry trends and technologies
Previous internship or project experience in cybersecurity, data science, or related field is preferred but not required
Microsoft Access skills

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

Important Notice:

This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We’re known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation’s most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

","hiringOrganization":{"@type":"Organization","name":"Sierra Nevada Corporation","sameAs":"https://www.sncorp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NV - Sparks (Prater), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Operations Manager, Data Science & Insights","datePosted":"2025-09-18","description":"

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

Are you a highly organized and strategically-minded operations professional with a passion for optimizing team performance and driving financial excellence? Blend360 is seeking an Operations Manager to join our dynamic Data Science & Insights team. In this pivotal role, you will be instrumental in ensuring the smooth and efficient functioning of our data science consulting engagements, empowering our world-class data scientists to deliver exceptional client outcomes.

This role requires a blend of analytical rigor, financial acumen, and strong interpersonal skills to manage critical aspects of team operations, resource allocation, and performance measurement. You will be a key partner to leadership, providing the insights and infrastructure necessary for strategic decision-making and sustainable growth.

Key Responsibilities:

Drive Resource Planning and Optimize Resource Utilization:
Manage Financial Forecasting and Performance:
Drive Monthly Performance Reporting and Analysis:
Drive Key Team Initiative Priorities:
Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking

Qualifications

Bachelor's degree in Business Administration, Finance, Operations Management, or a related quantitative field. Master's degree or MBA preferred.
5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
Proven expertise in resource planning, capacity management, and optimization strategies.
Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.

Additional Information

At Blend360, you'll collaborate with a smart, passionate group of people who are invested in your success. We offer:

The opportunity to work with an impressive list of Fortune 500 clients, solving their most challenging data-driven problems.
A culture that values innovation, continuous learning, and professional growth.
A comprehensive benefits package and a commitment to work-life balance.
The chance to make a significant impact on the efficiency and effectiveness of a rapidly growing Data Science & Insights practice.
The pay range for this position is $100 -$130,000 annually

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Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
\nOur vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Description

Your Career

The Senior Technical Project Manager will be a member of the Global Consulting Operations team and will be responsible for supporting multiple projects concurrently in partnership with our technical teams, clients, and internal stakeholders. This position will be focused on Unit 42’s Digital Forensics and Incident Response engagements, as well as Proactive Service engagements, and will report directly to the Manager for Unit 42 Security Consulting Project Management Office (PMO).

Your Impact:

Manage multiple projects effectively by defining schedules and goals based on Statements of Work (SOWs) and communicating directly with clients where needed
Maintain and update status reports for external clients and customers
Identify issues and risks related to projects and overall health of the client; Ensure any identified issues/risks are escalated to the project Engagement Lead
Partner and guide technical team members to accomplish project goals and objectives, ensuring execution of project tasks, and monitoring progress to completion
Support the delivery of quality solutions to clients and customers, with a goal of exceeding expectations
Maintain a strong understanding of the Professional Services team’s skill sets
Partner with consulting leadership with any staffing needs for each project
Develop strong partnerships with internal and external stakeholders for each project
Partner with the Engagement Lead to ensure the projects adhere to budget and time frame guidelines
Partner with Engagement Lead to look for opportunities to increase client satisfaction and deepen relationships
Comfortable with managing customer expectations and dealing with conflict

Qualifications

Your Experience

Bachelor’s degree in MIS, Cybersecurity, Computer Science or related field, or equivalent work experience
7+ years of professional experience in Project Management, focusing in one or more of the following: Cybersecurity, Digital Forensics, Incident Response, Cyber Risk/Controls, or other related technical experience
PMI Project Management Professional (PMP) certification or equivalent preferred
Ability to lead multiple large-scale projects creating project plans and ensuring on-time task execution and documentation
Flexibility to work nights, weekends, holidays as needed
Proven ability to work autonomously, prioritize projects, solve problems requiring meticulous attention to detail, multitask, and communicate with stakeholders at all levels of our client organizations
Ability to maintain confidentiality and diplomacy
Ability to communicate effectively in both verbal and written form
Strong proficiencies with Google Suite, Asana, and Clarizen preferred
Previous direct client/customer consulting experience preferred

Additional Information

The Team

Unit 42 Consulting is Palo Alto Network's security advisory team. Our vision is to create a more secure digital world by providing the highest quality incident response, risk management, and digital forensic services to clients of all sizes. Our team is composed of recognized experts and incident responders with deep technical expertise and experience in investigations, data breach response, digital forensics, and information security. With a highly successful track record of delivering mission-critical cybersecurity solutions, we are experienced in working quickly to provide an effective incident response, attack readiness, and remediation plans with a focus on providing long-term support to improve our clients’ security posture.

Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

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About Datacamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About The Role

As a Curriculum Manager - Data Science and Data Engineering, you will directly contribute to DataCamp’s mission to democratize data education by helping build the best platform to learn data and AI skills. In this role, you’ll work closely with expert instructors and internal stakeholders across curriculum, engineering, product, and marketing to improve and continue to expand our data science and data engineering curriculum. With strong technical competency in Python and SQL, and the ability to lead and influence across functional groups, you’ll develop impactful content that gives learners the skills they need to thrive in a rapidly evolving data landscape.

About You

At DataCamp, we value action, ownership, transparency, and a deep focus on learners. You’re someone who:

Has a strong technical background.
Is passionate about data education and wants to shape how the next generation of data scientists and data engineers learn.
Stays current with the latest trends, tools, and technologies.
Thrives in fast-paced environments.
Communicates clearly and can make complex ideas easy to understand.
Takes ownership and brings structure to ambiguity.

Responsibilities

In this role, you will focus your time on the following areas:

Manage the entire content development lifecycle and deadlines.
Source and recruit top-tier instructors who are subject matter experts.
Collaborate with instructors to create engaging content.
Design, review, and create content covering data science and data engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
Work with cross-functional teams to enable content creation for more advanced technical topics.
Continuously assess course performance using learner feedback and engagement data to drive improvements.
Own your portion of the curriculum roadmap.
Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.
Identify opportunities and develop AI workflows to optimize content creation and enhance quality.

Qualifications

Strong technical background in Python and SQL.
Experience using at least one Data Engineering technology (ie, Snowflake, dbt, Java, Airflow, Kafka, etc.).
Experience in topics like deep learning, natural language processing, database design, and data and machine learning pipelines.
Experience and interest in learning new tools and technologies.
Experience in a technical education role or educational content creation.
Strong written communication skills and attention to detail.
Ability to work collaboratively with both technical and non-technical stakeholders.

Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
Competitive Compensation – We offer a competitive salary with attractive benefits.
Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
Professional Growth – Access to a yearly learning & development budget.
Global Culture – Join a team that values international collaboration.
Annual Retreats – Participate in international company retreats, fostering a global team spirit.
Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

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About Datacamp

About The Role

About You

At DataCamp, we value action, ownership, transparency, and a deep focus on learners. You’re someone who:

Has a strong technical background.
Is passionate about data education and wants to shape how the next generation of data scientists and data engineers learn.
Stays current with the latest trends, tools, and technologies.
Thrives in fast-paced environments.
Communicates clearly and can make complex ideas easy to understand.
Takes ownership and brings structure to ambiguity.

Responsibilities

In this role, you will focus your time on the following areas:

Manage the entire content development lifecycle and deadlines.
Source and recruit top-tier instructors who are subject matter experts.
Collaborate with instructors to create engaging content.
Design, review, and create content covering data science and data engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
Work with cross-functional teams to enable content creation for more advanced technical topics.
Continuously assess course performance using learner feedback and engagement data to drive improvements.
Own your portion of the curriculum roadmap.
Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.
Identify opportunities and develop AI workflows to optimize content creation and enhance quality.

Qualifications

Strong technical background in Python and SQL.
Experience using at least one Data Engineering technology (ie, Snowflake, dbt, Java, Airflow, Kafka, etc.).
Experience in topics like deep learning, natural language processing, database design, and data and machine learning pipelines.
Experience and interest in learning new tools and technologies.
Experience in a technical education role or educational content creation.
Strong written communication skills and attention to detail.
Ability to work collaboratively with both technical and non-technical stakeholders.

Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
Competitive Compensation – We offer a competitive salary with attractive benefits.
Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
Professional Growth – Access to a yearly learning & development budget.
Global Culture – Join a team that values international collaboration.
Annual Retreats – Participate in international company retreats, fostering a global team spirit.
Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

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Do you want to help revolutionize how Microsoft measures, monitors, and manages its $140B business portfolio?

Do you want to design and build the next generation of user experiences and analytics platforms using cutting-edge technology? Do you want to influence product engineering teams to shape the next generation of data and analytics capabilities available to millions of Microsoft customers worldwide?

The Finance Data and Experiences organization (FD&E) builds scaled solutions that enable Microsoft to run its end-to-end business more effectively and efficiently. FD&E operates within the business and has proficient delivery partnerships across Finance, Sales, Marketing, and Engineering. Our products influence data-driven decision making across a myriad of users and audiences ranging from the company’s Leadership Team to front-line sellers working directly with customers.

We pride ourselves on a culture of customer centricity, innovation, agility, transparency, and flexibility. We are always eager to hear new ideas and promote out of the box thinking when addressing complex process, architecture, or technology challenges.

As a  Senior Technical Program Manager, you will have an opportunity to work with the latest cloud technologies to build industry-leading business management solutions for your customers. In this Senior Technical Program Manager role, you will work with Azure, Synapse, Fabric, Azure AI and other cloud-native platforms to help architect and develop a suite of future-state analytics capabilities.

Responsibilities

As a Senior Technical Program Manager on our team, you will have a direct and clear impact on our products and customers. In this role, you will work closely with talented engineering teams, collaborate with a diverse set of stakeholders across Finance, Operations & Engineering, and have the opportunity to design, deliver, and iterate on new data products, tools & applications. Our work has high visibility with the finance leadership team and ample opportunities to share our successes. The scope of responsibilities includes:

Creating data products/feature specifications with visual and written designs
Identify opportunities to streamline processes, use AI in solutions and encourage AI adoption across stakeholders.
Partnering with our engineering teams in all phases of development as a thought leader on feature design and user experience that focuses on privacy compliance and excellence.
Providing hands-on program management during various phases of our projects including day-to-day contributions as part of agile development practices.
Measuring the success of the product through relevant metrics and KPIs
Developing product roadmaps and strategy
Listening to customers (internal and external) to understand their scenarios and challenges
Engaging with partner teams across engineering and product to drive alignment on dependencies
Embody our culture and values

Qualifications

Required Qualifications

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
2+ years of experience managing cross-functional and/or cross-team projects.
OR equivalent experience.

Preferred Qualifications

Experience with building services on Azure or other cloud services with use of AI technologies
Experience with data analytics and related technologies, including Kusto (Azure Data Explorer), SQL, ETL technologies, machine learning (ML), Azure AI and PowerBI or other similar technologies
Proven ability to lead through ambiguity while partnering across organizations 
Demonstrated ability to come up-to-speed quickly on a new technical domain 
Experience using data to drive prioritization and measure progress
Experience managing multiple concurrent projects in a fast-paced environment
Proven collaboration and communication skills (verbal and written)

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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