{"@context":"https://schema.org","@type":"ItemList","name":"Data Scientist Jobs - Find Data Science Positions Near You","description":"Browse the latest Data Scientist job openings on our platform. Discover top companies hiring for Data Scientists and kickstart your career in Data Science today.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Data Scientist - TikTok Integrity and Safety (San Jose)","datePosted":"2025-09-20","description":"About the Team
\nJoin our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.
\n
\nResponsibilities - What You'II Do
\n1. Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification. Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments.
\n2. Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. You will deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency.
\n3. Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. You will work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety.
\n4. Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-09-20","description":"As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

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

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

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

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
Master's or Ph.D. Degree in a quantitative field

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,१४,०००/year to $१,७१,०००/year + bonus + equity + benefits

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

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

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Minimum Qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Experience with statistical data analysis, statistical modelling and experimental design.

Preferred Qualifications:

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
4 years of experience as a data scientist, and experience applying advanced analytics to planning and infrastructure problems.
Experience with Large Scale Computing and Predictive Modeling in a business context.
Experience with Mathematical or Combinatorial Optimization.
Experience designing and building machine learning models.
Excellent problem-solving and project management skills.

About The Job

\nYou will co-lead the transition of the resource management of hyperscale containerized platforms from ad-hoc heuristics to optimization, reinforcement learning and beyond. Working with product designers and tech leads, you will provide quantitative perspective and expertise in ML methods and statistical tools both to optimize the products and to evaluate their impact. You will have an opportunity to impact the key infrastructure layer for large-scale AI deployments spanning tens of thousands of machines and products, including VertexAI and external customers.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Design and evaluate models to mathematically express and solve problems with limited precedent. Use statistical approaches to quantify uncertainty in data and in results.
Use mathematical optimization/operational research methods to improve products' efficiency and customer experience.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Associate Data Scientist/AI Trainer","datePosted":"2025-09-20","description":"\n

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

We are seeking a customer-facing Associate Data Scientist/AI Trainer to join a Professional Services team focused on Conversational AI implementations. The ideal candidate should have a good understanding of Natural Language Processing technologies. In this role, you will be responsible for working with Developers and Conversation Designers to ensure highest levels of accuracy and performance in Five9’ AI based solutions such as intelligent virtual agents, agent guided solutions, and others.

Responsibilities:

Label language data following labeling guidelines.
Ensure that labeling/data analysis tasks are completed on time and to a high standard.
Review, maintain and improve labeling guidelines and procedures to ensure consistency and accuracy of labeling/analysis.
Collaborate with Data Scientists and Engineers to identify requirements and prioritize tasks.
Work with the project management team to ensure that labeling/analysis tasks are scheduled and completed according to project timelines.
Identify opportunities for process improvements and automation to increase efficiency and reduce errors.
Implement/improve methods to compare and evaluate LLM outputs.
Create and curate multilingual speech and text datasets.
Evaluate and recommend ML models for topic modeling, summarization, intent classification.
Create data visualization tools and dashboards.

Minimum Qualifications:

Familiarity with NLP labeling/analysis.
Undergraduate degree in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics or similar.
Understanding of Conversational AI concepts and technologies.
Excellent project management and communication skills.
Strong attention to detail and ability to maintain high-quality standards.
Demonstrated ability to work independently and as part of a team.
Fluent in English, both written and spoken.

Preferred Qualifications

Graduate degree or higher in in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics or similar.
Experience with programming and data analysis/statistics with languages and platforms such as Python, R, Jupyter, and SQL.
Experience in a customer-facing role (requirement gathering, presentations, etc.).
Familiarity with version control, unit tests, and other programming best practices.
Proficiency in additional languages.
Experience designing and conducting data experiments.
Familiarity with bot frameworks such as IBM Watson, Amazon Lex, Rasa or Google Dialogflow.
Experience with ML libraries, such as SciKit Learn, TensorFlow, etc.
Hands on experience with LLMs, prompt engineering, fine-tuning and evaluation.

Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office.

\n\n\n

As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.

Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.

Our total reward package also includes:

Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
Generous employee stock purchase plan.
Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.

The US base salary range for this role is below. $59,600—$134,400 USD

Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills.  The more inclusive we are, the better we are.  Five9 is an equal opportunity employer.

\n\n

View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.

Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

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We began our consulting journey in 2015 and have been growing ever since! We do that by delivering the best quality work possible for our clients. We are not afraid to take risks and we always seek the best possible path to solve a problem, instead of just a quick makeshift solution. Thanks to our highly skilled team of engineers, we always perform tasks using our best abilities!
We are passionate about what we do everyday and we can always count on our team to have our backs. Teamwork is one of our core values! We don’t go anywhere by ourselves. We are driven to achieve great things. And we are extremely helpful to everyone. We expect you to be a team player.
When you join us, you will:
Build, validate, and deploy statistical and machine learning models (e.g. anomaly detection, fraud detection, clustering, NLP, generative AI).Experiment with advanced techniques (e.g. graph neural networks, LLMs, deep learning) to push the boundaries of what data can deliver.Collaborate with engineering, product, and business teams to translate strategic questions into data-driven solutions.Contribute to architectural discussions on scalable, production-ready ML systems.Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.Use your excellent English skills to communicate daily, both verbally and in writing, in cross-functional teams.

What we'd like to see in a candidate:
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL.Proven experience in Data Science, Data Analysis, or related roles.Solid foundation in statistics, data modeling, and applied machine learning.Hands-on experience with cloud platforms (AWS preferred: SageMaker, Lambda, RDS, S3).Ability to communicate insights clearly to both technical and non-technical stakeholders.Experience with version control (Git) and modern development practices.Excellent English communication.
Nice to haves:Background in scientific research or advanced studies (MSc/PhD in a quantitative field).Experience with LLMs (e.g. GPT, LangChain, Whisper, vector databases) or graph neural networks.Proficiency with full-stack or API development (FastAPI, Next.js, etc.) to deliver data products.Familiarity with big data tools (Spark, BigQuery, Redshift).Exposure to fraud detection, anomaly detection, or other high-impact ML use cases.Knowledge of efficient compiled languages (C++, Rust, Scala) for numerical computation.","hiringOrganization":{"@type":"Organization","name":"Ambush","sameAs":"https://www.getambush.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"State of Rio Grande do Sul, Porto Alegre, Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Data Scientist Senior - Sector Financiero","datePosted":"2025-09-20","description":"

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Estamos en búsqueda de un/a Data Scientist Senior

Principales Responsabilidades:

Diseñar, desarrollar e implementar modelos avanzados de análisis descriptivo, predictivo y prescriptivo utilizando técnicas estadísticas y matemáticas.
Identificar y definir las variables clave, codificaciones, algoritmos y arquitecturas de modelos de datos que permitan optimizar procesos operativos y decisiones estratégicas.
Aplicar metodologías de ciencia de datos para mejorar la detección y prevención de fraudes, garantizando resultados tangibles y escalables.
Colaborar con equipos multidisciplinarios para integrar soluciones analíticas en sistemas de producción, asegurando cumplimiento con políticas, procedimientos y lineamientos institucionales.
Desarrollar y mantener pipelines de análisis robustos en entornos distribuidos (Big Data), con énfasis en repetibilidad y automatización.
Utilizar APIs de LLMs (Large Language Models) para potenciar procesos de análisis, generación de insights y automatización de reportes.
Monitorear el rendimiento de los modelos, realizar validaciones periódicas y proponer mejoras continuas.

Requerimientos:

Buscamos Profesional en Ingeniería en Informática, en Sistemas o afín con más de 4 años de experiencia en:

Diseño Experiencia comprobada en proyectos de Ciencia de Datos en entornos reales, preferiblemente en sector financiero.
Experiencia demostrable en gestión y prevención de fraude mediante modelos analíticos (detectores de anomalías, clasificadores, scoring, etc.).
Conocimiento práctico en tecnologías de Big Data y su aplicación en entornos empresariales.
Habilidades Técnicas:\n\n
Capacidad para trabajar con grandes volúmenes de datos, diseñar experimentos, validar modelos y comunicar resultados técnicos a equipos no técnicos.
Lenguajes de programación: Python (profundidad en librerías como Pandas, Scikit-learn, NumPy, XGBoost, etc.)
Procesamiento de datos masivos: Spark (PySpark), SQL y NoSQL (MongoDB, Cassandra, etc.)
Infraestructura en la nube: AWS (Athena, SageMaker, S3); conocimientos en Azure son un plus.
APIs y LLMs: Nociones conceptuales sobre el uso de modelos de lenguaje grande (LLMs) para automatización y generación de insights.

\n\n

Ofrecemos:

Cultura de innovación y crecimiento profesional
Vinculación a tiempo indeterminado (relación de dependencias)
Beneficios legales
Seguro médico privado
Póliza de vida
Día libre de cumpleaños
Trabajo modalidad híbrida en Quito, Ecuador

\n\n

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Joseline Roca

#Li-Jr1

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The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior
Developing state-of-the-art imaging systems to observe living cells in action
Instrumenting tissues to better understand inflammation, a key driver of many diseases
Engineering and harnessing the immune system for early detection, prevention, and treatment of disease

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The Opportunity

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
10s of thousands of donor-matched DNA & RNA samples
PB-scale static and dynamic imaging datasets
TB-scale mass spectrometry datasets
Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Data Scientist, you'll lead the creation of groundbreaking omics datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You'Ll Do

Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.
Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You'Ll Bring

5+ years of experience with large scale genomic and/or epigenomic datasets.
Demonstrated delivery of large biological data products.
Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
Strong fundamentals in statistical reasoning and machine learning.
Experience with biological data analysis and QC best practices
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (engineering, product, AI Research).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits For The Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#Li-Hybrid

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Why Socure?

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

About The Role

Join Socure’s Data Science Client Analysis team as a Sr. Data Scientist—this is a remote role based anywhere in the U.S..

In this unique role as Sr. Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This role is ideal for a Data Scientist who thrives on communicating data stories to both technical and non-technical audiences. It’s a great fit for someone who enjoys working with data and directly influencing business decisions. Data Scientists on the Client Analysis team are rewarded for their contributions to driving new business with a generous incentive bonus, in addition to a competitive base salary.

What You'Ll Do

Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Program Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

What You Bring

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and Pyspark, and have 5+ years experience working with massive real-life datasets You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable You have experience in identity verification and fraud prevention (strongly preferred)

Technologies We Use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)
Databricks
Airflow
Redshift, Snowflake, S3
Apache Spark, Apache Arrow
Amazon Emr
Looker, Tableau

Please note that Socure is not able to provide sponsorship for this opening, now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

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","hiringOrganization":{"@type":"Organization","name":"Socure","sameAs":"https://www.socure.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Data Scientist II","datePosted":"2025-09-19","description":"

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. 

As a Data Scientist II on the Customer Experience team, you will play a pivotal role in advancing Microsoft’s AI transformation by working directly with engineering teams to develop hyperscale solutions that support sales, marketing, and support platforms. In this position, you will utilize advanced analytics, statistical modeling, machine learning, and generative AI techniques to extract insights, drive impactful actions, and address complex business challenges. This role enables you to collaborate with a diverse group of data scientists, engineers, and product managers, deepen your expertise in the rapidly evolving fields of AI and machine learning, and make a meaningful difference for thousands of users who rely on Microsoft’s business platforms.

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

Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
Write robust, reusable, and extensible code to support analysis and modeling.
Develop new ML or GenAI based models using advanced statistical and ML techniques.
Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.

Qualifications

Required Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
1+ year(s) of experience building and/or evaluating generative AI based solutions.
1+ year(s) of experience using Python and SQL.
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

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

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Ability to translate complex business insights into clear and actionable recommendations for business teams.
Familiarity with building and analyzing core business metrics.
Understanding of database systems with the ability to independently acquire, transform, and store data.
Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

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.

","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":10,"item":{"@type":"JobPosting","title":"Data Scientist II, Logistics","datePosted":"2025-09-19","description":"

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

About The Role

We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including dynamic pricing, matching, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.

About The Team

The Logistics data science group investigates foundational and applied problems at the core of Instacart’s marketplace and fulfillment business. Data scientists in Logistics tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace. Data scientists work closely with Machine Learning and Operations Research Engineers, Product Managers, and policy partners to iterate marketplace systems, develop new products, and improve experimentation capabilities.

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About The Job

Define and enhance analytical frameworks that guide product decision-making and strategy.
Design and analyze experiments to derive actionable insights for improving product and system performance.
Build models and simulations to predict the outcomes of marketplace and policy changes.
Support the development and refinement of algorithms governing marketplace fulfillment systems.
Collaborate on strategic projects to improve experimentation capabilities and analytical tooling.
Help shape Instacart’s marketplace through your expertise in areas such as causal inference, machine learning, forecasting, or optimization modeling.
Clearly communicate findings and recommendations to leadership and cross-functional teams.

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About You

Minimum Qualifications

2+ years of experience in a data science, analytics, or equivalent role.
Experience designing experiments and interpreting results to draw actionable conclusions.
Proficiency in SQL and writing queries for complex datasets.
Proficiency in Python or R for data analysis and modeling.
Ability to turn loosely defined problems into clearly structured analyses and business outcomes.
Strong analytical mindset, flexibility to adapt in a fast-changing environment, and eagerness to learn and grow.

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Preferred Qualifications

Experience working with multi-sided marketplaces.
Experience working in dynamic pricing, auction, and matching problem spaces
Hands-on experience developing and evaluating statistical, machine learning, or optimization models.
Hands-on experience in experimentation design, methods, and tooling in a product-driven organization.
Familiarity with geospatial data and methods.
Advanced degree (MS or PhD) in Statistics, Economics, Operations Research, Mathematics, or a related field.
Excellent communication skills for cross-functional collaboration and leadership engagement

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ$164,000—$182,000 USDWA$158,000—$175,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$150,000—$167,000 USDAll other states$136,000—$151,000 USD","hiringOrganization":{"@type":"Organization","name":"Instacart","sameAs":"https://www.instacart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

About Customer.Io

Over 7,500 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

Hi there! We’re looking for a Senior Data Scientist to join our central Data team — the Center of Excellence for Data at Customer.io. Our team partners across the business to deliver insights, predictive models, and data-powered strategies that accelerate growth. In this role, you’ll collaborate with Product, Marketing, Sales, and Customer Experience to design and deploy models that forecast outcomes, identify opportunities, and prescribe the best paths forward. You’ll be a trusted advisor who helps shift our company from reporting on the past to predicting and shaping the future.

What We Value

Curiosity and rigor — you dive deep into data, asking the right questions and testing assumptions.
Collaboration and ownership — you partner across functions, take initiative, and see work through to real-world impact.
Applied machine learning — you use statistical and ML models to solve real business problems, not just build for the sake of building.
AI-first mindset — you’re energized by the opportunity to apply predictive and prescriptive analytics in ways that scale across the business and product.
Impact-oriented storytelling — you can distill complex modeling results into clear, actionable insights for executives and operators alike.

What You’Ll Do

Design and deploy predictive models that improve customer acquisition, conversion, and retention (e.g., lead scoring, customer health, product adoption forecasts).
Partner with Product, Revenue, and CX teams to identify opportunities where modeling and experimentation can drive measurable business outcomes.
Build prototypes and production-ready models in Python, leveraging our modern data stack (Snowflake, dbt, etc.) for scalable development and deployment.
Collaborate with data engineering to ensure clean, reliable, and extensible data pipelines for advanced analytics and ML use cases.
Translate modeling outputs into clear recommendations and decision frameworks for senior leaders.
Contribute to the design of analytics capabilities that can extend into our products, creating differentiated customer-facing insights.

What We'Re Looking For

5–7 years of experience in data science, applied machine learning, or advanced analytics, with a proven track record of driving impact.
Strong SQL and Python skills — able to wrangle large datasets efficiently and build end-to-end analyses and models.
Experience with forecasting, classification, or scoring models applied in business contexts.
Familiarity with modern data workflows and tools (dbt, Snowflake, Hex, Streamlit).
Strong communication skills, with the ability to explain complex models and tradeoffs to non-technical stakeholders.
Bonus: experience embedding ML insights into applications or customer-facing products.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $173,000 (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

30-minute call with Maria (Recruiter)
45-minute call with Hiring Manager
30-minute calls with 4 potential team members
Take-Home Assignment + 45-minute review call

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join Us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

\n","hiringOrganization":{"@type":"Organization","name":"Customer.io","sameAs":"https://customer.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Americas Remote"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"1237# Principal Data Scientist","datePosted":"2025-09-19","description":"\n

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds...

ClinChoice is searching for a Principal Data Scientist to support our inhouse project.

ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.

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Key Responsibilities

\nLead the design, development, and deployment of advanced analytics and machine learning solutions for clinical, biomarker, and real-world data.\n
\nCollaborate with cross-functional teams including Clinical, Biostatistics, Data Management, and Medical Affairs to identify business problems and develop data-driven strategies.\n
\nProvide thought leadership in data science methodologies, tools, and best practices within the pharma domain.\n
\nGuide the development of predictive models, risk stratification tools, and patient segmentation approaches to support clinical and commercial decisions.\n
\nOversee the integration, curation, and analysis of diverse data sources (clinical trial data, EHR, claims, genomics, imaging, etc.).\n
\nEnsure compliance with regulatory and privacy requirements (HIPAA, GDPR) when handling sensitive patient data.\n
\nMentor and guide junior data scientists and analysts to elevate team capabilities.\n
\nPartner with IT and data engineering teams to ensure scalable, production-ready solutions.\n

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Required Qualifications

\nPhD or Master’s in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.\n
\n8+ years of experience in data science, with at least 3 years in the pharmaceutical/biotech industry.\n
\nProven expertise in machine learning, statistical modeling, and big data analytics.\n
\nStrong programming skills in Python, R, and SQL; experience with cloud platforms (AWS, Azure, GCP) preferred.\n
\nExperience with clinical trial data (CDISC standards, SDTM, ADaM) and/or real-world evidence (RWE) data.\n
\nExcellent communication skills with the ability to translate complex analytics into actionable business insights.\n
\nDemonstrated leadership skills and experience managing or mentoring data science teams.\n

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The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.

Who will you be working for?

About Clinchoice

ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.

Our Company Ethos

Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.

ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.

#L1-DNP

\n\n\n","hiringOrganization":{"@type":"Organization","name":"ClinChoice","sameAs":"https://clinchoice.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Clinical Data Scientist, Data Products & Insights","datePosted":"2025-09-19","description":"About N-Power Medicine
N-Power Medicine aims to establish a new paradigm in drug development by reinventing the ‘how’ and transforming clinical trials through better integration with clinical practice, ensuring broader participation by physicians and patients. We are building an exceptional multi-disciplinary team with diverse expertise spanning healthcare, engineering, technology and regulatory, and with people who share our core value of Empowering Community through generosity, curiosity and humility. We are working with urgency to bring better therapies to patients faster.
Position Overview
N-Power Medicine is hiring a Senior Clinical Data Scientist to lead the development of scalable data products, analytical endpoints, and research studies leveraging real-world data (RWD), prospective external control arms (ECAs), and other advanced healthcare data sources.This role sits at the intersection of data science developer and product owner: you will design, build, and maintain reproducible R-based tools and analytics frameworks while shaping product requirements and ensuring adoption by internal and external stakeholders. Success means delivering robust, validated analytics capabilities that accelerate clinical research, democratize access to data and insights, and empower teams across the organization to make evidence-based decisions.This position is remote within the United States.
Role Objectives and Responsibilities
-Develop analytics endpoints and frameworks in R for prospective ECA and retrospective RWD studies, ensuring reproducibility, transparency, and scalability across multiple indications.-Design and own reusable data science tools/products that enable broader teams—clinical, product, biostatistics, and external collaborators—to access data, derive insights, and run analyses without deep programming expertise.-Create standardized, validated endpoints that can be used repeatedly across studies, accelerating timelines and improving comparability of results.-Collaborate with cross-functional teams to define requirements, prioritize features, and deliver solutions that are intuitive, scientifically rigorous, and research-ready.-Act as both builder and product leader: scope, prototype, and productionize solutions while ensuring they align with broader business strategy and are adopted by stakeholders.-Champion democratization of data and insights by building tools, documentation, and workflows that expand access and usability across the organization and network.-Mentor and guide teammates, contributing to a culture of technical excellence, transparency, and knowledge-sharing.-Engage externally with collaborators, sponsors, and scientific partners to demonstrate the rigor and impact of our analytics solutions.-Perform other duties as assigned to support team and company goals.
Education, Experience, Behavioral Competencies, & Skills
-5+ years of progressive experience in data science and healthcare research.-Bachelor’s degree or equivalent experience.-Deep expertise in R programming (package development, reproducible pipelines, RMarkdown/Quarto, Shiny, tidyverse/dplyr).-Experience with clinical research data (RWD, EHR/EMR, claims, registries, clinical trial data).-Proven track record of building scalable, validated analytical tools that empower non-technical users to generate insights.-Demonstrated ability to translate technical capabilities into accessible, productized solutions used across teams.-Excellent communication skills and ability to engage both technical and non-technical stakeholders.-Bias for action and problem solving - we are looking for builders to join the team and help us build toward a big vision.-Generous, Curious & Humble.
Preferred:-Experience with external control arms (ECAs) and prospective RWD studies, preferably with experience in oncology.-Strong understanding of causal inference, survival analysis, and endpoint development in regulatory-relevant contexts.-Familiarity in working with Life Sciences teams at large pharma organizations.-Knowledge of data engineering practices (version control, CI/CD, workflow orchestration).-Leadership experience mentoring junior data scientists.
Travel Requirements
Ability to travel may be required from time to time.
Pay Information
The expected hourly range for this position is $130,000 and $167,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. N-Power Medicine (NPM) offers equity at hire as well as a discretionary annual bonus which may be available based on Company performance. This position is eligible for company benefits at 30+ hours/week.
More About Us:We are a mission-driven, well-funded, rapidly growing company, eager to attract passionate professionals offering a highly attractive compensation package with a balanced and flexible work environment, competitive industry benefits as well as a 401K plan and other great company “perks.”
We are an Equal Opportunity Employer and value diversity at our company. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Covid-19 Policy – The Company is committed to providing and maintaining a safe workplace, and to safeguard the health and well-being of our employees, families, visitors, and the community. While vaccination remains one of the most important tools in advancing the health and safety of employees and promoting the efficiency of workplaces, we are now in a different phase of our response when these measures are no longer necessary. We currently do not have mandatory COVID-19 vaccination requirements for our employees and contractors, as the COVID-19 public health emergency has ended. However, there are certain N-Power Medicine employees and contractors who, based on their role, will be required to continue to follow our 2021 COVID-19 vaccination and other requirements as mandated by N-Power Medicine’s partners they serve. We reserve the right to modify or amend our corporate policy at any time.
Applicants must be currently authorized to work in the U.S. on a full-time basis. The Company will not sponsor applicants for work visas.
Notice on fraudulent job offers: Only positions posted on https://npowercareers.multiscreensite.com/ site are legitimate. Please be mindful of recruitment fraud and job scams.","hiringOrganization":{"@type":"Organization","name":"N-Power Medicine","sameAs":"https://www.npowermedicine.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Network Security Data Scientist (Corelight Labs)","datePosted":"2025-09-19","description":"\n

Towards the end of our interview process is an in-person interview.

Do you want to help make the world safe from cyber attack?

At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies -but they can’t avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.

Job Summary:
We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis as needed. You will be able to look back a year from now and say two things with pride: first, “I helped to build that.” and second, “We are generating insights that no one else in the world has achieved.” As a Network Security Data Scientist within Corelight Labs, you will work closely with network security experts and machine learning engineers to develop visibility and detection models and LLM applications for network security. You will play a crucial role in leveraging data generated from tools like Zeek, Suricata, and Yara to drive our AI/ML product offerings forward.

Key Responsibilities:

Contribute to the full range of stages of AI/ML projects, from explorations to productization.
Identify apt opportunities to apply supervised and unsupervised techniques to robustly detect a wealth of behaviors, in the face of a range of real-world constraints
Build agentic applications and customize LLMs with RAG or fine-tuning and to tackle advanced network security use cases.
Leverage network traffic logs to create models for behavioral detection of TTPs with low FP rates.
Evaluate and refine algorithms against data-at-scale gathered from operational environments.
Work with ML engineers and network security experts to implement scalable AI/ML pipelines.
Work in an Agile development team focused on exploring and delivering AI/ML use cases.
Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
Author key materials to (a) share network security insights with the community, and (b) guide analysts in employing the models you develop and lead.

Minimum Qualifications:

Degree in Computer Science or related fields, or equivalent experience.
7+ years of experience in data science or LLM applications with a focus on cybersecurity.
Strong data science skills, including a proven track record applying the techniques to real-world problems.
Understanding of practical networking, security, and their intersection along with an enthusiasm to keep learning about these domains from highly experienced experts.
Experience in Python and data science libraries and tools (Scikit-Learn, Keras, PyTorch, Tensorflow, Pandas, Polars, Spark, DuckDB).
Experience in LLM frameworks such as langchain, langgraph, llamaindex, chroma or similar.
Experience using LLMs to tackle cybersecurity use cases.
Excellent communication skills to work effectively in a team.
Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.

Preferred Qualifications:

Knowledge of information security processes; especially threat detection and incident response, and of the cybersecurity product landscape.
Experience with local deployments and fine-tuning of Small Language Models (SLMs).
Experience in designing and implementing data pipelines using DuckDB.
Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)
Experience using Docker and/or Kubernetes, and containerized applications.
Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.
Experience with experiment tracking and reproducibility tools.
Experience adopting an Agile development methodology and working in a distributed team.

Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture.

Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company.

We are looking forward to meeting you. Check us out at www.corelight.com

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Notice of Pay Transparency:
The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.

Compensation Range$177,000—$210,000 USD","hiringOrganization":{"@type":"Organization","name":"Corelight","sameAs":"https://corelight.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Sr. Data Scientist, Algorithms","datePosted":"2025-09-19","description":"

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: Apply advanced statistical techniques and machine learning algorithms to identify key drivers of user and revenue growth across different marketing channels. Develop new statistical models as well as maintain/improve existing models like user lifetime value models. Build predictive models to forecast the impact of marketing tactics on business outcomes and recommend optimal marketing budgets and strategies. Conduct thorough model validation and performance testing to ensure accuracy and reliability of the developed models. Present findings and insights to stakeholders in a clear and concise manner, and provide actionable recommendations for improving marketing effectiveness and ROI. Evolve our experimentation capabilities and tools to evaluate the business impact of marketing investments. Develop end-to-end marketing mix models to evaluate the effectiveness of various marketing channels and campaigns. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc. Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements. Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies. Telecommuting is permitted.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Python; (2) SQL; (3) Spark; (4) Scikit-Learn; (5) Causal inference; (6) Natural Language Processing; (7) TensorFlow; (8) PyTorch; (9) A/B Test; and (10) Data visualization. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted.

Salary: $232,470.00 - $284,900.00 per annum
Reference #: L24-155810
This position is not available for relocation assistance.

\n\n

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$232,470—$284,900 USD

Our Commitment To Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

Minimum Qualifications

PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research.
3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions).
Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
Proficiency in causal inference methods.
Proven ability to translate offline analysis into online impact.
Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
Strong experience with SQL (e.g. postgres, snowflake, etc).

Preferred Qualifications:

2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc).
Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

Responsibilities

Work cross-functionally to translate business problems into testable analyses and experiments.
Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization.
Develop and deploy machine learning models to make recommendations and influence the product roadmap.
Define and build new ML features using text and multimodal embeddings and GenAI.
Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

","hiringOrganization":{"@type":"Organization","name":"Haystack News","sameAs":"https://haystack.tv/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Lauderdale Office","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Data Scientist II","datePosted":"2025-09-19","description":"Data Scientist II - Windows Data Team

As a Data Scientist on the Windows Data Team, you will play a pivotal role in driving AI-powered innovation across the software development lifecycle. You will collaborate with cross-functional teams - including product management, engineering, design, and user research- to embed data-driven thinking into every stage of product development.

Your responsibilities include designing and executing growth experiments, analyzing business metrics, building scalable data pipelines, and delivering actionable insights that influence product direction. You will identify instrumentation needs, define and set up metrics and OKRs, and evaluate the return on investment for new ideas. You will also build predictive models to understand customer behavior, drive personalized features, and support targeted outreach efforts.

You will be expected to develop operational models at scale, conduct reviews of data analysis and modeling techniques, and invent new evaluation methods. Your work will contribute to thought leadership and best practices across the organization. Effective communication and collaboration skills are essential, as you will work in complex, ambiguous environments and apply strategic influence to deliver measurable results.

Responsibilities

Partner cross-functionally with product, engineering, design, and research teams to embed data-driven thinking throughout the product lifecycle.
Experience in building data pipelines
Deliver actionable insights and predictive models that shape product direction and customer engagement.
Define instrumentation requirements, establish metrics and OKRs, and drive personalized features.
Review and innovate on data analysis, modeling techniques, and evaluation methods.
Champion thought leadership, strategic influence, and effective communication in complex, ambiguous environments.
Design and execute growth experiments, analyze business metrics, and evaluate ROI to guide strategic decisions.

Qualifications

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

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:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Extensive experience in exploratory data analysis, statistical inference, predictive modeling (e.g., regression, classification), and time-series forecasting to uncover trends and drive decision-making.
Designed and analyzed experiments to validate hypotheses, optimize product features, and measure impact across diverse business scenarios.
Built and maintained scalable data pipelines to support machine learning workflows, enabling efficient data ingestion, transformation, and model deployment.
Demonstrated leadership in complex problem spaces through strategic thinking, technical depth in ML and data engineering, and a relentless drive for innovation and progress.
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 29, 2025.

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

#W+D

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About Moloco:

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

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

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

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

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

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

The Impact You’ll Be Contributing to Moloco:

\nProduct Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.\n

What You’Ll Do:

\nConducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.\n
\nBuilding the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers\n
\nEvaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.\n

Basic Qualifications:

\nDistinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.\n
\nProven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.\n
\nExcellent verbal and written communication skills, with ability to present information and analysis results effectively.\n
\nStatistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.\n
\nProgramming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).\n
\nAbility to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.\n
\n5+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.\n
\nBachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).\n

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:$172,000—$220,000 USD

Moloco Thrive: Benefits And Well-Being:

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

Moloco Values:

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

Additional Resources:

Equal Opportunity:

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

Candidate Privacy Notice:

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

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Major Responsibilities:

Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets.
Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics.
Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends.
Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow.
Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences.
Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies.

Education And Experience:

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems.
Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch.
Demonstrated ability to write clean, scalable code and independently prototype data solutions.
Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting.
Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows.
Strong statistical reasoning and ability to translate complex data into strategic business insights.
Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences.
Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred).
2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred).
Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred).
Familiarity with Natural Language Processing (NLP) techniques and applications (preferred).

Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
","hiringOrganization":{"@type":"Organization","name":"Lightcast","sameAs":"https://lightcast.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (Work From Home) US"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Data Scientist - Featurespace","datePosted":"2025-09-19","description":"

Company Description

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

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

Job Description

At Featurespace, we strive to be the world’s best software company at protecting our clients and their customers from fraud attacks. We do that with personality, heart and professionalism, cultivating an innovative, fun and positive team atmosphere where everybody can contribute to solving our clients’ problems in new, innovative ways. We are always seeking to be the best at what we do and make our customers smile.

The Role

In your role as Data Scientist within the Professional Services organization, you will help us achieve our goals and deliver success on behalf of our customers by:

Building advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online and ecommerce transaction data.
This is a customer-facing role that requires close collaboration with clients to understand their data and challenge

Responsibilities

We hire people with a willingness to adapt to a variable role, so along with the key responsibilities below, we ask for ownership of any other duties as required.

Applying analytical theory to diverse real-world problems on large and dynamic datasets
Generating integral work products from project kickoff through to live deployment
Developing statistical models and algorithms for integration within Featurespace products
End-to-end processing and modelling of large customer data sets
Producing materials to feedback analytic output to customers (reports, presentations, visualizations)
Working collaboratively with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Evaluating and improving analytical results on live systems
Developing an understanding of industry data structures and processes
Working with engineering/development teams to support and enhance the analytical infrastructure
Testing analytical models and their integration within the ARIC platform
Providing input into future data science strategy and product development
Building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

Skills And Experience

Must Haves

Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience
Experience in applying practical machine learning algorithms to real-world data
Experience in implementing statistical models and analytical algorithms in software
Experience using Python, Java, R or another major programming language for data analysis, machine learning or algorithm development
Technical and analytical skills with the ability to pick up new technologies and concepts quickly
Problem solving skills (especially in data-centric applications)
Strong, clear, concise written and verbal communication skills
Ability to manage and prioritise personal workload
Practical experience of the handling and mining of large, diverse, data sets
Constructive participation in system architecture/design discussions from an analytical perspective

Great To Haves

A Ph.D. or other postgraduate qualification would be an advantage but is not essential
Experience working in a Linux command line environment
Experience using SQL to analyse data
Experience with version control software and workflows (e.g. git)

Qualities

We value how we go about our work, just as much as what we do, and this is reflected in our values:

As a Data Scientist, you also need the following qualities:

Enjoys working in a team of like-minded and intelligent people to solve complex problems
An ability to contribute to team-wide improvements while maintaining focus on personal achievement and responsibilities
A passion to learn new skills and technologies
Attention to grammatical detail, layout and presentation
An enthusiasm to work for one of the fastest growing financial crime prevention technologies in the world

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 110,000.00 to 155,350.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, GA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Data Scientist (AI Search & Information Retrieval)","datePosted":"2025-09-19","description":"

Description

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~250,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,900 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

We fully embrace the AI revolution and equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools, and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster.

We’re looking for a Data Scientist to join Core Services group and help us benchmark, evaluate, and guide the future of search and information retrieval at monday.com. This role is all about understanding how our users search data in monday.com, how they interact with AI products using search, and how we can push the limits of retrieval and ranking models to meet their needs.

The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers who love solving impactful problems. Teams here work on a broad range of challenges that push the boundaries of our products and infrastructure.

About The Role

Build and maintain benchmark sets to evaluate our search stack end-to-end (vector search, lexical search, user-contextual search).
Design and run experiments to understand user and AI products search patterns, and information needs.
Evaluate and compare embedding models, cross-encoders, and textualization strategies, making proactive recommendations for adoption.
Assess alternative vector DBs, configurations, and query parameters to drive improvements in retrieval quality.
Extend benchmarks into future-facing models (query refinement and understanding, scoring models combining multiple signals).
Interpret results and drive data-backed technical direction to improve search capabilities across monday.com.
Partner closely with AI engineers, ML Ops, and product teams to turn insights into scalable features.

Requirements

5+ years of experience as a Data Scientist or Research Scientist working on search, NLP, or ML-driven products.
Hands-on experience with vector databases, embeddings, cross-encoders, and evaluation methodologies.
Strong background in experimental design, A/B testing, and data analysis.
Proven track record of translating user interaction data into product and technical insights.
Familiarity with query understanding, ranking models, and search evaluation metrics
Strong communication skills—you can present complex evaluation results in a clear, actionable way.
Bonus: Experience working with large-scale user behavior data and building proactive evaluation frameworks.

Social Title

\nNone\n

Social Description

\nNone\n

Our Team

\nNone\n

Position Type

\nNone","hiringOrganization":{"@type":"Organization","name":"monday.com","sameAs":"https://monday.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"warsha, PL","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Co-op Engineer - Data Scientist","datePosted":"2025-09-19","description":"

Our team has an immediate 12-month co-op opening for an Engineer.

About The Team:

Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.

About The Role:

Support preparation and augmentation of datasets for training deep learning models, ensuring data quality and relevance.
Develop, test, and deploy AI modules and prototypes using Python.
Assist with research and experimentation on emerging AI techniques and technologies (e.g., LLMs, agentic AI, NLP).
Collaborate closely with team members to align on project goals, share insights, and contribute to an agile development process.

Requirements

About The Ideal Candidate:

Currently enrolled in a university and participating in the school's co-op program (undergrad degree).
Strong foundation in algorithms, data structures, and object-oriented programming, with proficiency in Python (knowledge of R or Java is a plus).
Familiarity with ML and data analysis tools/libraries such as NumPy, Pandas, Matplotlib, and scikit-learn, along with basic understanding of statistics.
Exposure to deep learning concepts and frameworks, preferably PyTorch, and an interest in applying them to NLP or generative AI tasks.
Curiosity about NLP methods (NLU, NLG, transformers) and experience with libraries such as SpaCy or NLTK is a plus.
Interest in generative AI tools and techniques, including Large Language Models (LLMs), prompt engineering, and LLM-based AI agents.
Familiarity with (or willingness to learn about) cloud platforms and integration services such as Azure Logic Apps.
Passionate about learning and experimenting with new AI technologies, and able to work independently while contributing as a collaborative team member.

","hiringOrganization":{"@type":"Organization","name":"Huawei Technologies Canada Co., Ltd.","sameAs":"https://www.huawei.com/ca/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Markham, Ontario, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

<Gh-Intro><Text>

We’re looking for a Senior Data Scientist to join Bolt’s Rides Matching domain. You’ll use data to uncover opportunities, frame the right questions, and shape how we verify match drivers and dispatch offers to them. Your work will directly influence marketplace balance, growth, and user experience.

</Text></Gh-Intro>

<Gh-About-Us><Title>About Us</Title>

<Text>

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

</Text>

</Gh-About-Us><Gh-Role-Detail>

<Title>About The Role</Title>

<Text>

Matching is the core of Bolt’s ride-hailing and powers efficient, data-driven, high-scale matching in hundreds of cities across the globe. You’ll lead discovery analyses across search, dispatching, and matching, translate patterns into hypotheses, and partner with product and engineering to design experiments and data-driven changes. Expect to prototype lightweight models where they’re the simplest, highest-leverage tool, keeping the emphasis on problem-finding, evidence, and impact.

</Text></Gh-Role-Detail>

<Gh-Responsibilities>

<title>Main tasks and responsibilities:</title>

<Bulletpoints>

\n\n\n

<point>Probe matching funnels to find friction and opportunity, size the impact, and turn insights into prioritized, testable ideas. </point>
<point>Design and analyze A/B tests, and deliver crisp readouts with recommended decisions.</point>
<point>Prototype lightweight models and decision rules with careful offline/online evaluation and simple monitoring; collaborate with engineers for productionization.</point>
<point>Discover and evaluate new marketplace efficiency features (what drivers to match with, when to match, how long, batch them or not) that improve marketplace efficiency and matching speed; articulate trade-offs and expected impact clearly to stakeholders.</point>

\n\n\n

</Bulletpoints></Gh-Responsibilities>

\n\n

<Gh-Requirements>

<title>About you:</title>

<Bulletpoints>

<point>2-5 years in a data-science or quantitative product role, with strong statistical thinking and curiosity for problem discovery.</point>
<point>Proficient in SQL and Python (Pandas/NumPy; scikit-learn for light modeling); experienced in working with large datasets and communicating trade-offs clearly.</point>
<point>Hands-on with experimentation and with causal/observational reasoning when randomized tests aren’t feasible.</point>
<point>Comfortable turning ambiguous spaces into measurable metrics, hypotheses, and shipped improvements; you default to the simplest approach that moves the needle.</point>

</Bulletpoints><Text>

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
</text>
</gh-requirements>

#Li-Hybrid

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🚀 About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

Join us in shaping the future of science! We are seeking a data scientist with a strong background in life sciences to join our data science team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and lab-focused tool building, we want to hear from you!

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

","hiringOrganization":{"@type":"Organization","name":"Lila Sciences","sameAs":"https://www.lila.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Life Sciences","datePosted":"2025-09-19","description":"

🚀 About Lila

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

🤝 A Note to Agencies

","hiringOrganization":{"@type":"Organization","name":"Flagship Pioneering, Inc.","sameAs":"https://www.flagshippioneering.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"AI Data Scientist, Evaluation & Insights","datePosted":"2025-09-19","description":"

Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.

Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.

We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.

We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!

About The Role

Ironclad is accelerating its investment in AI to redefine how legal teams manage and understand contracts. As part of this effort, we are hiring an AI Evaluation Engineer to work within our AI Pillar. This role is focused on unlocking insights from our training data, designing feedback loops, and ensuring the continuous improvement of our agentic and ML or LLM-based systems through data-driven evaluation and iteration.

You’ll partner closely with AI Engineers and Product Managers to drive better model quality through systematic analysis, experimentation, and the curation of high-leverage datasets. Your work will directly impact the effectiveness of features like Smart Import, contract understanding, and agentic workflows.

What You'll Be Doing

Analyze training and evaluation datasets to identify distributional gaps, labeling inconsistencies, and long-tail opportunities.
Design and execute labeling campaigns, including development of golden datasets and annotation guidelines.
Build and maintain dashboards that track model accuracy, regression trends, and product-specific KPIs like success rate or answer helpfulness.
Investigate failure modes via prompt clustering, error taxonomy development, and user intent classification.
Operationalize feedback loops: mine product telemetry and human-in-the-loop reviews for signal, then translate into data-driven model improvement strategies.
Partner with engineers and PMs to run structured A/B tests and human evaluations for new models or features.
Support the development of scalable data and evaluation infrastructure for LLMs and agents.
Work with product, engineering and legal to create clear & transparent processes for the handling of customer data in AI training, fine-tuning and evaluation

About You

Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Data Science, Applied Math).
1–3 years of experience in applied ML or data science, preferably in NLP or LLM-based applications.
Strong SQL and Python skills; experience with Jupyter, Pandas, and experiment tracking tools.
Comfortable navigating ambiguity, slicing large datasets, and communicating insights clearly to cross-functional stakeholders.
Experience with prompt analysis, clustering, or user behavior modeling is a plus.
Bonus: familiarity with LLM eval techniques, Reinforcement Learning from Human Feedback (RLHF), or agentic system design.Experience with program management.

Why This Role Matters

AI is critical to the value Ironclad customers get from their contracts, allowing their business to manage risk, close revenue faster and operate more effectively. None of this is possible without reliable and accurate data. This role will lead these efforts, becoming a key contributor to the development of AI solutions in an industry that is likely to be transformed by the new generation of models.

What We Value

Bias for action and data curiosity
Ownership mindset and team-first attitude
Comfort in fast-paced, iterative environments
Passion for building AI products that solve real-world customer problems

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

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Description De L'Entreprise

M13h est une équipe de consultant·e·s passionné·e·s au service de la performance business & marketing des entreprises.

Le cabinet allie vision Stratégique et expertises Data, Marketing & Technologies pour accélérer la transformation de leaders de leur secteur vers un pilotage data-driven.

Nous maîtrisons toute la chaîne de valeur de la data et aidons des marques comme LVMH, FDJ, Salomon, Clarins, … à accroître leurs performances, au travers de missions variées :

Stratégie Data: définir sa stratégie, ses cas d’usage data et le socle technologique pour la déployer
Adtech & Martech : mettre en place les technologies permettant de collecter et exploiter la donnée (analyse, activation marketing, connaissance client…)
Customer experience : optimiser les parcours client et améliorer les taux de conversion
Privacy: s’adapter aux évolutions technologiques et règlementaires tout en développant ses performances marketing
Modern Data Platforms : construire des plateformes de données sur le cloud en utilisant la puissance des moderns data stacks
Advanced Insights : tirer profit des données pour prendre des décisions éclairées (dashboards, data analyse, data science, modélisation avancée, …)

M13h est membre du Groupe Labelium et met ses compétences data au profit de plus de 750 experts multidisciplinaires dans plus de 20 pays. Le tout en restant une structure à taille humaine où il fait bon travailler !

Description Du Poste

En tant que Data Scientist / Analytics Engineer, tu interviens sur des problématiques à la croisée de la data science, de la data analyse et de la data ingénierie ce qui te permet d’avoir rapidement une vue d’ensemble des métiers de la data appliqués au monde du marketing.

Pour cela, tu interviens à différents stades des projets :

Analyse et modélisation des données de nos clients
Mise en place des flux et modèles de données, en se basant sur des stacks data modernes (SQL, dbt, outils ELTs, GCP/Azure/AWS/Snowflake, …)
Exposition des données dans les outils BI & visualisation
Création de dashboards et d’outils de pilotage

Quelques exemples de missions à titre d’illustration :

Création de modèle d’attribution pour estimer la performance des campagnes média et proposer des optimisations
Construction d’une Customer Data Platform pour un grand retailer (8 marques / 30+ pays)
Migration d’une large infrastructure de dashboards basés sur un stack Supermetrics vers un stack Adverity+BigQuery
Mise en place d’outils de pilotage de bout en bout pour plusieurs startups en forte croissance
Segmentation des clients d’une marque pour personnaliser les messages envoyés …

Polyvalent·e, tu as à cœur de comprendre les besoins de tes interlocuteurs et déterminer la meilleure manière pour y répondre. En tant que stagiaire, tu seras encadré·e par des profils plus seniors te permettant de progresser rapidement dans notre environnement et sur les stacks data modernes.

Qualifications

Issu·e d’une grande école de commerce, d’ingénieurs ou équivalent, tu souhaites découvrir toutes les facettes des métiers de la data appliqués au monde du marketing.

Tu maîtrises très bien SQLet souhaites travailler sur les modern data stacks : plateformes cloud (Google Cloud, AWS, Azure, Snowflake), outils ELTs, dbt, … La maîtrise de Python est un plus. Tu as de bonnes capacités d’analyse et souhaite travailler sur des projets analytiques de bout en bout en faisant preuve d’autonomie et de rigueur.

Tous nos stages sont proposés dans des logiques de pré-embauche !

Pourquoi nous rejoindre ?

M13h, c’est avant tout une équipe qui aime les challengeset porte des valeurs de bienveillance et de progrès collectif. Tu as déjà lu ça ailleurs ?
Contactes nos consultant·e·s sur LinkedIn pour vérifier directement :)

Démarrer chez M13h, c’est aussi une belle opportunité de développer tes compétences conseil et ton expertise rapidement sur des missions variées, au sein d’une structure à taille humaine tout en profitant des avantages d’un groupe international. Tu es accompagné par un parrain ou une marraine dès ton arrivée en plus de ton manager, profites de formations, accèdes à de nombreusesressources de nos partenaires data marketing ou modern data stack tels que : Google, Facebook, Didomi, OneTrust, AB Tasty, Kameleoon, Contentsquare, Funnel, Fivetran, Adverity, dbt, …

Et puis M13h, c’est aussi des avantages et du fun :)

Des Tickets Restaurant
Et Bien D’Autres…
Une politique de télétravail avantageuse
Une mutuelle et transports pris en charge à 100%
Un abonnement à des salles de sport
De nombreux moments, événements et afterworks de cohésion d’équipe
Process de recrutement en 3 étapes incluant une étude de cas.

Informations SuppléMentaires

Le groupe Labelium inscrit la diversité et la mixité durant tout son processus de recrutement afin de garantir un environnement de travail accessible à toutes et tous.

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Data Scientist

Application Deadline: 24 September 2025
Department: Data Analysis and Technology Services
Employment Type: Full Time
Location: Chantilly, VA

Description

\nREQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time onsite in Chantilly, VA

We're not just looking for a data scientist; we're searching for a visionary. At Ardent Principles, we believe that data and artificial intelligence are the keys to unlocking a better future. If you're passionate about transforming complex data into actionable insights and building intelligent systems that will revolutionize our industry, then you've found your new home.

\nWith a competitive salary range and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!

Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.

\n\nPassionate Integrity, Driven by Excellence
\"Ardent Principles\" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.

Key Responsibilities

In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:

In-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, Tensorflow, etc.
Ability to understand and automate customer workflows and business processes with AI solutions
Data structures, data modeling, and software architecture
Extensive math and computer science skills, with a deeр understanding of probability, statistics, and algorithms
AI/ML specific programming languages, such as Python, Jav, C++, Conda, etc.
Training AI models, as well as in integrating pre-trained models into dataflows and software architectures.

Highly Desired Qualifications

Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:

Implementing secure AI solutions in the Intelligence Community
Working with highly sensitive data sets
Leading AI/ML initiatives
Experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline
Experience and in-depth knowledge in implementing solutions in Amazon Web Services
Very strong problem solving and critical thinking skills
Performing in a collaborative team environment.

What We Offer You

\nWhat We Offer You:

\nHighly Competitive Salary: Recognizing and rewarding your expertise and contributions.
\nGenerous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
\nDedicated Training Budget: Supporting continuous learning and professional development.
\n100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
\n100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
\n401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
\n11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
\nSpot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

SCHEDULE:This is a full-time position with consultants expected to be available and working onsite in Chantilly, VA during core hours.

\nReady to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!","hiringOrganization":{"@type":"Organization","name":"Ardent Principles, Inc","sameAs":"https://www.ardentprinciples.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chantilly, VA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Scientist, RBQM Analytics","datePosted":"2025-09-19","description":"

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Purpose

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Identifies use cases that are appropriate for the application of ML and AI.

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
Enables data-driven insights to support of clinical development, including precision medicine
Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
Responsible for coaching and mentoring junior team members
Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks. Applies machine learning techniques to validate assumptions and predict future behavior

Qualifications

This is a hybrid opportunity 3x/week in Lake County, IL

Qualifications

Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
Proven expertise with Machine Learning and other advanced analytics techniques
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
Demonstrated problem-solving and analytical skills
Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

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, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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Sr Level Data Scientist

Full Visibility is seeking a Sr Data Scientist to support a mission focused project in Chantilly, VA. Candidate\nmust possess an active Top Secret/SCI Eligible clearance.

We are seeking a mission driven Sr. Data Scientist that will be utilizing big\ndata technologies and knowledge of data science models to analyze large amounts\nof data and create valuable

Insights.

Responsibilities include but\nnot limited to:

Collaborate with non-technical and\nanalysts to understand their data science needs, suggest solutions, and\ncomplete the work in a timely manner.
Lead and/or design machine\nlearning (ML), statistical analysis, and data analysis tasks.
Leverage existing and/or conduct\ncustom Extract Transform Load (ETL) work to aggregate data from multiple repositories\nand condition the data to provide novel insights.
Interpret data, identify features\nand model variables, assess the quality of model outputs, generate\nalternatives, and conduct remediation.
Find and design new approaches to\nhandling, analyzing, and using large volumes of data and/or data sets, and\nexplore fundamental issues with data handling, search, and retention.
Design new software code to\nimprove data search processes, and design, test, and validate the quality of\ndata and data processes.
Automate routine workflows and\ndata analysis steps to assist with workflow automation. ---Report results of analyses and provide\nactionable recommendations.

Requirements

Requirements:

Active Top Secret Clearance with\nSCI eligibility

Master’s Degree + 4 years of relevant experience OR Bachelor's Degree +8 years of relevant experienceH

High level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics

High Proficiency with Python

Experience with machine learning\n(ML), statistical analysis, and data analysis tasks

Experience with Extract Transform\nLoad (ETL)

Ability to work onsite in Chantilly VA OR Huntsville AL (Role can be located in either location)

Benefits

About Full Visibility

Full Visibility LLC is a federally\ncertified Small Business that delivers innovative technical solutions to\naddress the nation’s most critical and sensitive missions. Founded in 2006, our\nextensive technical capabilities and expertise support federal and state\ngovernment agencies with over 100 cleared technical experts specializing in\nmission solution areas of Digital, AI & Analytics, Cyber, and Engineering.

Our technologists are recognized\nas industry leaders with demonstrated expertise in innovating and transforming\nour client environments in support of national security and law enforcement.\nHeadquartered in Tysons, VA – with locations in Chantilly, VA, Quantico, VA,\nand Huntsville, AL – we have specialized experience supporting sensitive\nmissions with an understanding of the niche skillsets required to overcome\nchallenges in these environments. Our clients benefit from an enthusiastic and\nreliable team of technical talent with high employee morale and retention based\non our FULL EMPLOYEE approach – where each employee’s professional and personal\nwell-being is considered. We focus on employee development, success, and morale\nwhich is demonstrated by our consecutive top ranking, and thirteen-time honoree\nas the Best Place to Work by the Washington Business Journal. Full Visibility\nhas also been included on the Inc. 5000 Fastest-Growing Private Companies in\nAmerica list eight times since 2014.

Full Visibility holds over 20\nactive contracts with more than 100 billable staff supporting 21 clients in the\nIntelligence and Law Enforcement communities. As part of our commitment to\npartnerships, we are teammates with 13 prime contract holders. Additionally,\nFull Visibility holds contracts on several vehicles, such as GSA Multiple Award\nSchedule (MAS), FBI ITSSS-2, DISA SETI, DIA SITE III, HCaTS, as well as several\nclassified vehicles. Our portfolio includes experience serving the Department\nof Defense, Department of Homeland Security, Department of Justice, and\nDepartment of Veterans Affairs, as well as commercial clients.

Contact recruiting@fullvisibility.com for any questions or concerns related to this\nposition or our company.

To review our company benefit offerings please visit https://www.fullvisibility.com/benefits.

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Company Description

Do you want to contribute to projects changing the meaning of energy consumption in the Baltics and beyond? Ignitis is a part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations.

Ignitis offers advanced energy solutions and services to both private and business clients, enabling effective energy management, consumption, and production. The electric vehicle quick-charge network, Ignitis ON, significantly contributes to sustainable mobility in the Baltics. We supply power and natural gas to 1.5 million customers in Lithuania and, through our operations in Latvia, Estonia, Finland, and Poland, we are accelerating the development of green energy throughout the wider Baltic region.

Www.Ignitis.Lv #Ignitisgroup

Job Description

We invite an experienced Data Scientist / AI Expert (Smart Energy Solutions) to join our team. You will be responsible for the development, implementation, support, and maintenance of the IT ecosystem for providing new services to Latvian energy consumers. This is an exciting opportunity to build and shape future energy solutions from the ground up using the latest technologies. If that speaks to you, we’d be happy to welcome you to our team!

Take YOUR part in #EnergySmart!

You will contribute to green and secure energy ecosystem creation by:

Proposing and implementing artificial intelligence ideas that will transform tomorrow's digital customer and employee experiences
Developing and implementing data-driven models and analyses to support decision-making in business processes
Identifying and developing new AI-enabled services for customers (e.g., personalized tariff plans, optimal consumption recommendations, accurate consumption forecasting, customer support tools)
Working with large datasets, including both structured and unstructured data
Monitoring market trends, analyzing artificial intelligence application opportunities, and implementing pilot projects for proposed ideas
Ensuring the deployment and maintenance of models and solutions in a production environment (service deployment and maintenance, model training and evaluation)
Collaborating closely with IT development, product, and business teams to ensure solutions meet business objectives

Qualifications

At least one year of experience in developing and applying artificial intelligence solutions in business environments
Strong programming skills (e.g., Python) for model development, data analysis, machine learning, and working with GenAI libraries
An understanding of the value created by rapid prototyping, MVPs, or pilot projects, with direct involvement in their implementation
Proficiency in Latvian and English (oral and written) as this role involves regular communication with international colleagues and partners

Would Be An Advantage:

Experience or interest in working with cloud platforms (AWS, Azure, GCP)
Understanding of MLOps (Machine Learning Operations) principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines)

Additional Information

Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
Compensation corresponding to experience and competencies, and financial incentives dependent on achieved results
A hybrid work model (3+2) and flexible working hours
Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
Internal career opportunities
Extensive learning and qualification enhancement programs
Diverse and inclusive environment

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.

","hiringOrganization":{"@type":"Organization","name":"Ignitis Group","sameAs":"https://www.ignitisgrupe.lt"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Riga, Latvia","addressCountry":"Latvia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Data Scientist (Risk)","datePosted":"2025-09-19","description":"About CloudWalk:We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of happy customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically.
About The Team:The Risk Team is responsible for building the defense layer that keeps CloudWalk, its merchants, and users safe. We keep our ecosystem healthy by tracking down malicious activity and maintaining regulatory compliance while providing the best user experience. You will be part of a multidisciplinary team comprising risk analysts, data scientists, and software engineers, working collaboratively to enhance our risk management strategies.
About The Job:As a Data Scientist on our Risk Team, your role is crucial in developing and optimizing machine learning models to detect and prevent fraud. You will be a key player in analyzing data, building predictive models, and implementing robust data-driven strategies to enhance our risk management processes.You will bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector, with a specific focus on risk assessment and mitigation. Your work will involve handling large-scale datasets, extracting meaningful insights, and developing sophisticated algorithms to protect our ecosystem.\n

What You'Ll Need To Succeed:

Fluency in Python and SQL.
Proficient in ML libraries like Scikit, PyTorch, TensorFlow, etc.
Experience with cloud-based services like the Google Cloud platform.
Solid Data Visualization skills to create charts and dashboards.
Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Detail-oriented with a strong research mindset.
As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. We expect you to have the curiosity of a child with the responsibility of a grown-up.
Communication skills. You should be able to communicate effectively with multiple teams.
Ability to communicate and debate in English and Portuguese.

Nice-To-Have Skills:

Experience with financial or payment industry.
Knowledge of distributed systems and parallel computing.
DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization.

The Future We See:
At CloudWalk, we envision a future where AI empowers every field to reach new heights:
• People teams leveraging AI to transform talent acquisition and employee development.• Marketing professionals creating data-driven, AI-powered campaign strategies.• Customer Success teams enhancing client experiences with intelligent solutions.• Risk analysts combining human expertise with AI to navigate complexities.• Designers collaborating with AI to push creative boundaries.

Join us at CloudWalk, where we’re not just engineering solutions; we’re building a smarter, AI-driven future for payments—together.
By applying for this position, your data will be processed as per CloudWalk's Privacy Policy that you can read here in Portuguese and here in English.","hiringOrganization":{"@type":"Organization","name":"CloudWalk","sameAs":"https://www.cloudwalk.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Lead Data Scientist (AI)","datePosted":"2025-09-19","description":"

We are searching for a Lead Data Scientist (AI/ML) passionate about solving real-world challenges in new ways. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About The Client

Headquartered in New York, our client is the world’s largest HR consulting firm. With 20,500+ employees across 130+ countries, they support 97% of the Fortune 500 with scalable workforce solutions.

What You’Ll Do

Lead the design and delivery of advanced AI/ML solutions for clients and internal initiatives, ensuring scalability, robustness, and business impact
Develop, deploy, and maintain end-to-end machine learning models, ensuring reliability and performance
Research emerging trends in AI/ML and Generative AI, integrating them into real-world applications
Mentor and guide data scientists, fostering a culture of knowledge sharing, innovation, and continuous improvement
Stay at the forefront of applied data science and AI, continuously exploring new methodologies and tools
Partner with product managers, engineers, and business stakeholders to translate business needs into actionable AI-driven solutions

What You Bring

6+ years of experience in Data Science and Machine Learning
Proven ability to initiate and lead Machine Learning projects from scratch - from problem analysis and data collection to Proof of Concept (PoC) and production deployment
Strong expertise in Generative AI, including Retrieval-Augmented Generation (RAG) applications and Prompt Engineering
Proficiency in Python, along with key libraries such as Pandas, Scikit-learn, Matplotlib, and SQL
Deep understanding of Machine Learning algorithms, their limitations, and best use cases
Experience setting up MLOps pipelines for efficient model deployment and maintenance
Business-oriented mindset, with the ability to identify opportunities for leveraging data science to drive business value
Strong storytelling skills - capable of transforming complex data into actionable insights with compelling visualizations
Excellent communication skills, with the ability to engage directly with clients, understand their needs, and present solutions effectively

Nice To Have

MS or BS in Computer Science, Data Science, or a related field
Experience with Deep Learning frameworks such as PyTorch or TensorFlow
Familiarity with microservice architectures, task queues (e.g., Celery), cloud platforms (AWS, Azure), Docker, and networking basics
Strong portfolio on GitHub or Kaggle, showcasing hands-on AI/ML projects

English Level

Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

","hiringOrganization":{"@type":"Organization","name":"Exadel","sameAs":"https://exadel.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bulgaria, Hungary, Lithuania, Poland, Romania","addressCountry":"Bulgaria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Lead Data Scientist TS/SCI with Poly Required","datePosted":"2025-09-19","description":"

Lead Data Scientist Ts/Sci With Poly Required

\n\nData and Analytics\n | Artificial Intelligence and Data Science\n\n\n\n\n

Arlington/Rosslyn, Virginia, United States

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

Position Summary

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

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Deloitte is seeking a cleared Data Engineer to join a high-performing analytics team supporting a client in Chantilly, VA. In this on-site role, you will leverage your expertise in Python, Jupyter notebooks, pandas, and NumPy to develop and maintain data pipelines, apply advanced machine learning techniques, and extract actionable insights from large, complex datasets. You will collaborate closely with mission operations teams and client stakeholders, presenting technical findings to audiences of varying technical backgrounds and responding to high-priority analytic requests. This position offers the opportunity to work on impactful, high-visibility projects at the forefront of national security, while fostering professional growth and innovation in data science and AI/ML solutions. Excellent communication skills and the ability to work effectively under pressure are essential for success in this dynamic environment.

Work You’Ll Do

Develop, implement, and maintain data pipelines to process and analyze large, complex datasets in support of the client mission.
Apply advanced data science techniques—including supervised and unsupervised machine learning, spatial analysis, and time-series modeling—to extract actionable insights for mission-critical operations.
Build, test, and optimize analytic methodologies and AI/ML solutions for integration into user-facing technical tools.
Collaborate directly with client stakeholders and mission operations teams to understand requirements, present findings, and tailor analytic solutions to evolving needs.
Document code, workflows, and analytic processes following best practices to ensure reproducibility, transparency, and knowledge sharing within the team.
Prepare and deliver clear, concise technical briefings and presentations to audiences ranging from technical peers to senior leadership and non-technical stakeholders.
Respond rapidly to high-priority analytic requests, adapting to shifting mission priorities while maintaining high standards of technical rigor and communication.
Mentor, guide, and lead junior teammates by providing coaching, constructive feedback, and support while fostering a collaborative environment.

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

Bachelor’s degree.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Active TS/SCI with Polygraph security clearance required.
Ability to travel 10-50%, on average, based on the work you do and the clients and industries/sectors you serve.
7 + years of experience in Data Analytics, Data Science, and Data Engineering.
5 + years of experience in Advanced Python coding, and modeling.
2 + years of experience working with NumPy, Panda, and Spark.
Ability to work fully onsite at the client’s designated location – Chantilly, VA.

Preferred:

4 + years of experience building, testing, and optimizing AI/ML solutions.
Active Python certification.
Previous Federal Consulting and/ or professional services experience.
Previous experience presenting to clients or other decision makers to present ideas to various audiences (technical and non-technical).

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

#Cj1

\n\n\n\n\n\n\nRecruiting tips
\n
\nFrom developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.\n\n\n\n\n\n\n\n\n\n\n\n\nBenefits
\n
\nAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.\n\n\n\n\n\n\n\n\n\n\n\n\nOur people and culture
\n
\nOur inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. \n \n\n\n\n\n\n\n\n\n\n\n\nOur purpose
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.\n\n\n\n\n\n\n\n\n\n\n\n\nProfessional development
\n
\nFrom entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.\n \n\n\n\n\n\n\n\n\n\n\n\n As used in this posting, \"Deloitte\" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.\n\n\n\n\n\n\n Requisition code: 312591\n \n\n\n\n Job ID\n \n\n 312591\n ","hiringOrganization":{"@type":"Organization","name":"Deloitte","sameAs":"https://www.deloitte.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington/Rosslyn, Virginia, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Company Description

The Red Gate Group, founded in 2006, is a Service-Disabled Veteran-Owned Company based in Chantilly, VA. As an SDVOSB, the Red Gate Group has established a reputation for delivering quality multi-tiered services in intelligence analysis, strategic planning, program management, policy development, operational design, and technology integration. RGG delivers high-quality, customer-centric solutions around the world—from the foxhole to the highest levels of Government. Our motto, \"Making a Difference for Country and Client,\" reflects our deep commitment to national security and service excellence. As an employer of choice, we offer comprehensive benefits including flexible time off, 11 paid holidays, immediate 401(k) eligibility with a generous match, and full medical, dental, and vision coverage through Anthem. Our employees enjoy 100% company-paid life insurance and disability benefits, along with professional development assistance for degrees and certifications. We foster a culture of growth and work-life balance, backed by our commitment to supporting both our clients' missions and our employees' success. Join our team and be part of an organization that values both service excellence and employee wellbeing.

Job Description

The Red Gate Group is seeking a Senior Data Scientist to support the Defense Threat Reduction Agency (DTRA) in Reston, VA. In this role, you’ll combine technical expertise with leadership skills to solve some of the nation’s most critical challenges. You’ll work directly with clients to uncover their toughest questions, explore complex datasets, and design advanced algorithms that deliver clear, actionable insights.

As a Senior Data Scientist, you’ll not only build and deploy cutting-edge models—you’ll also mentor teammates, shape best practices, and lead efforts to translate data into mission impact. This is an opportunity to turn complex, high-volume data streams into meaningful intelligence that drives real-world decisions.

Key Responsibilities

Lead the design and implementation of machine learning models for classification, extraction, summarization, and search.
Work with clients to frame problems, identify data sources, and develop analytic strategies.
Build end-to-end ML workflows, from data preparation and exploration to deployment and evaluation.
Manage large-scale, production-level systems processing millions of streaming documents per week.
Apply expertise in data cleaning, mining, analysis, and visualization to create clear, actionable results.
Collaborate with cross-functional teams, including MLOps and infrastructure engineers, to ensure robust deployment, monitoring, and retraining of models.
Mentor junior team members and guide best practices in data science methodology and implementation.
Stay at the forefront of emerging tools, frameworks, and approaches in AI/ML, NLP, and data science.

Qualifications

3+ years of experience in applied data science or ML roles, including Python, NLP, and LLM implementation.
3+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
Experience with production-level systems, data lake environments, and streaming data (e.g., Kafka).
Proven ability to design, implement, and iterate on ML models in real-world, high-volume environments.
Strong grasp of infrastructure and systems concepts, particularly data pipelines and data lakes.
Experience implementing end-to-end ML workflows from preparation to deployment.
Active Ts/Sci Clearance.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Desired Qualifications

Experience collaborating with MLOps teams on deployment, monitoring, and retraining pipelines.
Familiarity with document indexing, search platforms, GPU workloads, and distributed storage (e.g., Cloudera).
Experience developing algorithms with R, Python, SQL, or NoSQL.
Knowledge of distributed data and computing tools such as Hadoop, Hive, Spark, MapReduce, or EMR.
Hands-on experience with visualization tools like Plotly, Seaborn, or ggplot2.
Security+ Certification.

Additional Information

The Red Gate Group, Ltd. is an Equal Opportunity/Affirmative Action Employer. The Red Gate Group, Ltd. considers applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Know Your Rights

","hiringOrganization":{"@type":"Organization","name":"Red Gate Group","sameAs":"https://www.redgategrp.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Data Scientist-KMPL Support Services-Analytics","datePosted":"2025-09-19","description":"Grade\nM1 to M4\nReports to:\nLead/Principal Data Scientist\n \n \n \n \n\n\nIs a Team leader?\nNo\nTeam Size:\n--\n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\nRole\nData Scientist/Sr Data Scientist\n \n \n \n \n \n \n\n\nBusiness:\nNot Applicable\nDepartment: \nAnalytics\nSub-Department: \nNot Applicable\n \n \n\n\nLocation:\nMumbai\n \n \n \n \n \n \n\n\nRole\n \n \n \n \n \n \n \n\n\n\n

As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time.

\n \n \n \n \n \n \n \n\n\nKey Responsibilities\n \n \n \n \n \n \n \n\n\n\n

1. Writing Optimized Code:

Develop and maintain efficient, scalable code for model pipelines
Implement best practices in coding to ensure performance and resource optimization

Version Control and Lifecycle Configuration:
Extracting Usable Information from Data:

Familiar with best practices to manage codebase changes with available resources
Maintain and update configuration files to manage the lifecycle of data science models
Translate business needs into data-driven solutions and actionable insights
Conduct thorough exploratory data analysis to uncover trends and patterns.
Create and maintain feature repositories to document and manage features used in models

\n\n\n

4. Building Robust Models:

Develop models that are reliable and generalize well across different time periods and customer segments.
Continuously monitor and improve model performance to adapt to changing data and business conditions

5. Publishing Model Outcomes:

Communicate model results and insights effectively to stakeholders.
Facilitate the adoption of models by ensuring they meet business needs and are user-friendly.

\n\n \n \n \n \n \n \n \n\n\nQualifications\n \n \n \n \n \n \n \n\n\n\n

Master/PGDM in Statistics/Economics OR
MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience

\n \n \n \n \n \n \n \n\n\nRole Proficiencies\n \n \n \n \n \n \n \n\n\n\n

Must Have Skills :
Ms Excel & PowerPoint
SQL
Python
Supervised & Unsupervised machine learning algorithms
Strong Communication skills
Collaborative Mind-set
Pro-active Approach to problem solving & stakeholder engagement
Good to have Skills :
SAS
AWS S3/ Sagemaker
Version Control

\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Kotak Mahindra Bank","sameAs":"https://www.kotak.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior Applied Data Scientist","datePosted":"2025-09-19","description":"

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

\n\n

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

\n\n

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We are seeking an Applied Data Scientist who is ready to elevate their career. This role offers an opportunity to leverage your expertise in transforming complex problems into actionable insights by utilizing state-of-the-art machine learning techniques combined with innovative human creativity. You will play a key role in delivering effective and impactful solutions for our clients. As a member of our advanced data science team, you will investigate, develop, implement, and deploy a variety of complex applications and components, collaborating with exceptionally talented colleagues who are not just following the rules but are actively redefining them.

Key Expectations for This Role

A degree in a relevant field
Proficiency in programming languages and tools such as Hadoop, Spark, SQL, and Python
Experience with prototyping
Knowledge of statistical modeling
Familiarity with analytical techniques and technology
Skills in quality assurance and testing

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

","hiringOrganization":{"@type":"Organization","name":"dunnhumby","sameAs":"https://www.dunnhumby.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bentonville","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Data Scientist Associate Sr","datePosted":"2025-09-19","description":"

As a Data Analytics Associate on the Home Lending Data & Analytics team, you will play a pivotal role in deriving actionable insights to support our originations strategy. This position offers an exciting opportunity for career growth and skill development, as you combine quantitative analysis, business acumen, and problem-solving to drive impactful outcomes.

In partnership with Marketing, Product, and other Data & Analytics teams, you will conduct deep-dive analyses to identify drivers of business performance and recommend actions to improve KPIs. You will build analytical frameworks to support strategic priorities and implement predictive analytic models within targeted marketing campaigns.

Job Responsibilities:

Collaborate with Marketing, Product, and other Data & Analytics partners to define objectives and develop data-driven solutions for complex business challenges.
Source and integrate data from various platforms to narrate the story of past performance and provide guidance on enhancing business effectiveness in meeting customer needs.
Perform descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights.
Identify opportunities with the broader team to develop and enhance dashboards & automated reporting tools to facilitate decision making for business partners.
Conduct deep-dive analyses to identify and quantify drivers of business performance and recommend actions to improve KPIs.
Build analytical frameworks to support strategic and complex business priorities.
Implement predictive analytic models within targeted marketing campaigns, including customer segmentation and forecasting the incremental benefits of marketing efforts.

Required Qualifications, Capabilities, And Skills:

Bachelor's degree and 2+ years of experience in data analysis, business strategy, or related fields.
Proficiency using MS Excel, SQL and Python for data manipulation, visualization, and analysis
Proven ability to connect data analysis to business strategies and deliver results that drive measurable impact.
Exceptional critical thinking, analytical, and communication skills to effectively deliver insights to technical and non-technical audiences.
Strong ability to analyze complex problems, dive deep into data, and design innovative solutions. A relentless curiosity to understand the \"why\" behind data patterns.

Preferred Qualifications, Capabilities, And Skills:

Experience with cloud platforms (e.g., AWS, Snowflake) for large-scale data processing.
Familiarity with customer segmentation, targeting, or propensity modeling.
Background in financial services, mortgage, or related domains is a plus.

***Relocation assistance is not available for this role.

\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.

\n\n\n

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":"Plano, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Panama)","datePosted":"2025-09-19","description":"

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Technology consulting firm specializing in advanced data and digital product solutions for financial services and investment management companies. With a focus on scalable systems, cloud architecture, and analytics-driven platforms, Sprytelab partners with top-tier firms to deliver high-impact solutions at speed.

Job Summary

Results-driven Data Scientist with expertise in portfolio analytics, risk modeling, and performance attribution, specializing in alternative investments and digital assets. Skilled in Python, AWS S3, Snowflake, and Power BI, with proven ability to design scalable data models and pipelines. Adept at turning complex financial data into actionable insights and supporting portfolio management decisions through advanced analytics. Collaborative team player experienced in agile environments, ensuring efficiency and value delivery across cross-functional teams.

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

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About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santo Domingo","addressCountry":"Dominican Republic","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Uruguay)","datePosted":"2025-09-19","description":"

About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Uruguay","addressCountry":"Uruguay","addressRegion":"South America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Mexico)","datePosted":"2025-09-19","description":"

About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Colombia)","datePosted":"2025-09-19","description":"

About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bogota","addressCountry":"Colombia","addressRegion":"South America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Brazil)","datePosted":"2025-09-19","description":"

About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (LATAM)","datePosted":"2025-09-19","description":"

About Truelogic

Our Client

Job Summary

Responsibilities

Build and validate portfolio analytics models related to risk, attribution, and performance
Work with stakeholders to define data requirements around alternative and digital investment products
Leverage Python and data science tools to process and analyze large-scale financial data sets
Develop data flows using AWS (S3) and Snowflake
Build data visualizations and dashboards using Power BI
Collaborate with cross-functional team members including data engineers, product owners, and business analysts
Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications And Job Requirements

Performance Attribution.
Portfolio Analytics.
Portfolio Risk.
Exposure to Alternative Investment Products and Digital Assets.
Strong Python skills (data processing, analytics, or ML).
Experience with AWS (S3) for data storage and integration.
Hands-on with Snowflake (data warehousing, querying).
Proficiency in Power BI or similar data visualization tools.

What We Offer

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’Ll Like Working Here

A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply Now!

","hiringOrganization":{"@type":"Organization","name":"Truelogic","sameAs":"https://www.truelogic.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"LatAm"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Scientist - Insights","datePosted":"2025-09-19","description":"

We Power People’S Progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet The Team!

At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.

As a Data Scientist - Insights, you will be a key player in shaping the future of our product and driving our strategy forward. Embedded within a cross-functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What You’Ll Be Doing:

Develop a deep understanding of our classroom experience and user behaviors, from user flows and audio/video performance to usage of collaboration tools and lesson materials.
Design and analyze A/B tests to validate product improvements (e.g., new UI changes, feature enhancements), quantifying their impact on key metrics such as adoption, user satisfaction, and retention.
Help define tracking events and engagement metrics that align with business goals and product improvements.
Investigate user pain points and propose data-driven solutions that address them.
Collaborate with cross-functional teams (product managers, engineers, designers) to translate business and product questions into meaningful analyses, clear dashboards, and actionable recommendations.
Communicate findings and insights to both technical and non-technical stakeholders, ensuring data informs strategic decisions and prioritization.
Contribute to our data culture by sharing best practices, supporting data-driven experimentation, and continuously seeking ways to improve our data stack and processes.

What You Need To Succeed:

Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.
Experience designing and analyzing A/B tests with a solid grasp of relevant statistical concepts.
Good understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
Team spirit and an eagerness to collaborate across product, engineering, design, and other data teams.

Nice To Have:

\nBackground in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).\n
\nExperience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).\n
\nFamiliarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.\n
\nFamiliarity with data visualization tools (e.g., Tableau, Looker, Power BI).\n
Master's degree in a quantitative field.

Why You’Ll Love It At Preply:

An open, collaborative, dynamic and diverse culture;
A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
A competitive financial package with equity, leave allowance and health insurance;
Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
Access to free mental health support platforms;
Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, And Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. Together, we are The World Class.

#Li-Vs1

","hiringOrganization":{"@type":"Organization","name":"Preply","sameAs":"https://preply.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barcelona, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-09-19","description":"

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others.

Responsibilities:

Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems.
Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory.
Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs.
Develop and integrate components for creating an operational information and knowledge discovery system.

Requirements

Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience.
Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management.
Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment.
Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
Ability to successfully handle multiple time-sensitive projects across several disciplines.
Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

Benefits

We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.

If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

","hiringOrganization":{"@type":"Organization","name":"Applied Physics","sameAs":"https://appliedphysics.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Data Scientist, Marketing","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience working with marketing and media data and transformations required for analytics.

Preferred Qualifications:

Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
Understanding of Bayesian approaches and modeling frameworks.
Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.

About The Job

Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google’s products solve the world’s problems – from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can – break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.

As a Business Data Scientist in the Marketing team, you will support our team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, or helping our team develop evaluation metrics that provide insights to the business. Specifically, as a Marketing Mix Modeling (MMM) specialist you will play a technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google’s media investment. At Google-scale, this implies working on our industry’s toughest issues. Regardless of geographic location, the role will maintain a global scope and requires working with teams operating across regions and marketing entities.

Responsibilities

Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on Marketing Mix Models (MMMs).
Partner with internal teams in advanced analytics work including experimentation, measurement, and modeling.
Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Scientist Manager, Product, Cloud","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree).
8 years of experience with data science and analytics in a technology or supply chain company.
Experience in data model and data insight transformation.

Preferred Qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
4 years of experience as a people manager within a technical leadership role.
Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights.
Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.

About The Job

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

The mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.

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.

Responsibilities

Manage Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team.
Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights.
Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team.
Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives.

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Minimum Qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.

Preferred Qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About The Job

We partner with teams across the company to apply Google's best data science techniques to Google's biggest enterprise opportunities. We collaborate with Research, Core Enterprise Machine Learning (ML), and ML Infrastructure teams to build solutions for our enterprise.

The Google Technology Enterprise (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, Information Technology (IT) support, and internal tooling with Artificial Intelligence (AI) and Advanced Analytics. We enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. We also build cross-functional services for use across Corporate Engineering (Corp Eng) and educate product teams on advanced analytics and machine learning.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Provide problem-solving thought leadership through proactive and strategic contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization.
Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Work with Product Managers, User Experience, and Engineers to contribute to metric-backed annual and quarterly OKR settings.
Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
Design and develop cutting-edge machine learning models to solve complex problems within the Enterprise Support space that solve actual business problems for Google.

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