Top Data Science Jobs

Use client platform data to identify trends and actionable insights, define analytical requirements, ensure data quality and governance, and develop statistical, data-mining, and predictive models. Create reports and dashboards, integrate multi-source data, validate accuracy, document processes, collaborate to optimize data systems, implement reusable analytics components, evaluate tools, and train users to support mission-driven, data-informed decision-making.

Lead analysis of large datasets using Databricks to identify trends, model customer retention/churn, create visualizations and dashboards, and integrate AI-driven solutions to support decision-making for consumer and retail analytics.

Lead data science research and develop scalable ML models, audience segmentation, propensity and recommender systems for marketing and eCommerce. Cleanse and integrate large disparate datasets, apply causal inference and A/B testing, define KPIs, ensure data governance and privacy, and communicate insights to product, sales, and marketing stakeholders to drive revenue and product improvements.

Lead end-to-end data science initiatives across pricing, dispatch, ETA, routing, and forecasting. Turn ambiguous logistics problems into production ML solutions, build data pipelines, partner with engineering to deploy models, establish evaluation and A/B testing, and work directly with customers and leadership to measure business impact.

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.

The Senior Data Scientist will manage and deliver analytics projects, engaging with clients to solve business problems using data science and machine learning techniques.

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.

Lead end-to-end data science efforts across pricing, dispatch, carrier selection, ETA prediction, routing, and forecasting. Own discovery through production, build models and pipelines with Python/SQL/Snowflake, partner with engineering to serve models, establish evaluation/monitoring/A-B testing, and measure impact on cost, reliability, and delivery performance while working closely with product, operations, and customers.

Senior Data Scientist focused on building production-grade Power BI semantic models and Fabric-based analytics. Integrate forecasts and data science outputs, optimize performance (DAX, Direct Lake, partitioning), prepare data for Copilot-enabled experiences, and implement engineering practices (CI/CD, version control, testing) while partnering with stakeholders and data teams to deliver governed, enterprise BI solutions.

As a Senior Data Scientist, you will extract insights from pharmaceutical data, develop AI solutions, partner with stakeholders, and translate findings into actionable recommendations.

Own analytics for market listings and health: model liquidity dynamics, build recurring health reports, audit new listings, diagnose underperforming markets, partner with Markets team to deliver actionable analyses, and improve data instrumentation.

Lead end-to-end analytics and AI initiatives to solve complex operational, financial, and clinical problems. Build, validate, and deploy predictive models and scalable analytical solutions; partner with stakeholders, present executive-ready findings, and ensure rigor, explainability, and measurable business impact.

Lead the data science function for a freight pricing venture: develop and deploy ML models for dynamic pricing, demand forecasting, elasticity, and load acceptance; design pricing experiments; partner with engineering to productionize and monitor models; validate business assumptions and set model governance; translate insights to product, commercial, and executive stakeholders.

Lead data science initiatives across Supply Chain and Finance, building and deploying forecasting, anomaly detection, and optimization models. Drive GenAI and multi-agent solutions, own end-to-end projects from data extraction to production with MLOps, translate insights for stakeholders, ensure governance and compliance, and mentor junior team members to deliver measurable business value.

Own end-to-end data science and analytics: build production Python systems, develop and deploy predictive models, write SQL and dashboards, turn messy data into actionable decisions, and work directly with stakeholders to iterate and ship reliable production features.

Lead the data science strategy for deployed humanoid robots: build predictive maintenance and reliability models, drive fleet performance and RaaS economics analysis, develop anomaly detection and RCA tooling, link manufacturing test data to field outcomes, and set instrumentation, experimentation, and data-quality standards across hardware, software, manufacturing, and operations.

Lead end-to-end data analysis and advanced model development to detect and mitigate insider threats. Define business requirements, build risk-scoring models and visualizations, drive policy and process improvements, brief leadership, and maintain data governance and platform integrity.

Lead product analytics for Roku's Home screen and discovery features: analyze structured and unstructured data, build dashboards and data pipelines, design A/B tests and models, provide actionable insights to product and engineering, and advise leadership to drive adoption and business value.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Senior Data Scientist oversees data collection and preparation, designs study protocols, leads report development, trains junior employees, and manages project workstreams while collaborating with team members to optimize business performance.

Own analytics projects end-to-end: write production Python code, design and analyze experiments to optimize CTV ad campaigns, build reporting and analytics tools, and translate insights into the Data Science product to support stakeholders and improve campaign performance.

The Sr Data Scientist, Risk will analyze fraud patterns, utilize machine learning techniques, develop models, and collaborate with teams to mitigate fraud in crypto trading.

Lead data science work for a CTV/adtech platform: write production Python code, design and analyze experiments, build reporting and analytics tools, translate insights into product, and collaborate with stakeholders to optimize ad campaigns.

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.