Top Senior Data Science Jobs

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

Lead measurement and optimization of marketing investments using causal inference and MMM. Deliver end-to-end data science solutions for Growth: define problems, build statistical pipelines, productionize models, design and analyze experiments, own roadmaps, and support automated campaigns via on-call rotation.

The Lead Data Scientist will oversee end-to-end data science projects, develop statistical models and machine learning algorithms, and collaborate across teams to deliver impactful data solutions.

The Senior Data Scientist will design and implement machine learning solutions for streaming data, troubleshoot production issues, and develop data processing pipelines, leveraging significant knowledge in AI and network communication.

Lead data science for Yahoo Mail subscriptions: analyze acquisition, conversion, pricing, retention, and churn; design and analyze A/B and multivariate experiments; build predictive and clustering models; partner with product, engineering, design, and business teams to deliver data-driven growth and monetization insights.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

The Data Scientist will develop Big Data/Cloud solutions, manage data manipulation, and work in an agile team for national security projects.

The Lead Data Scientist will analyze user business problems, develop system recommendations, and create technical solutions within multi-disciplinary teams to enhance data management and analytics.

The Senior Data Scientist will lead advanced data analytics, build machine learning models, and transform complex data into actionable insights while supporting the Air Force's ISR program.

Use statistical modeling and analytical frameworks to shape data acquisition, validation, and ML training strategies for AD/ADAS. Develop metrics to characterize data distribution and diversity, perform ambiguous problem analysis to inform decisions, communicate findings to stakeholders, embed with engineering teams for domain-specific recommendations, and mentor data science engineers to drive best practices.

Design and implement forecasting models and algorithms for pricing and promotions, build features in the forecasting platform, clean and validate data, produce visualizations, write maintainable code, and collaborate with subject-matter experts and clients to translate data into retail business solutions.

Lead data science and ML analyses to support risk and compliance decisions. Evaluate models for performance and fairness, perform descriptive/predictive/prescriptive analyses, develop code and automated processes, present insights to stakeholders, and lead small projects while collaborating with compliance, legal, and business partners.

As a Lead Data Scientist at Oliver Wyman, you will manage analytics projects, develop models, and engage with global clients to solve business challenges using advanced data science methodologies.

Analyze large-scale mobile user and app datasets to inform product and ML strategies, collaborate cross-functionally, build dashboards and processes, and present statistical analyses to improve platform performance.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

Build and maintain large commercial datasets and predictive/forecasting models (BigQuery, dbt, SQL, Python). Design causal and experimental analyses to measure promotion impact and price elasticity. Partner with commercial, finance, and executive stakeholders to inform pricing, distribution, and investment. Deploy LLMs and AI agents to classify unstructured data and build tools that democratize data access.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

The Experienced Data Scientist will design, develop, and deploy models using statistical and machine learning techniques, conduct data analysis, and collaborate across teams to improve model performance and address business needs.

As a Senior Data Scientist, you'll analyze complex data, develop predictive models, and aid decision-making for clients using advanced analytical tools.

Analyze large, diverse datasets (claims, hazard, geospatial) and apply advanced data science, ML, and AI to model catastrophe, hazard, exposure, and man-made risks. Evaluate vendor models, develop internal risk views and tools, collaborate with domain experts, and support underwriting decision-making and account-specific risk analyses.

The Senior Data Scientist at LiveRamp will develop and maintain measurement models, translating complex statistical methodologies into scalable production pipelines and collaborating with cross-functional teams to enhance data collaboration for ad tech applications.

The Sr. Data Scientist focuses on price optimization using deep learning and data science to enhance profitability and efficiency, while managing projects and mentoring junior staff.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.