Top Data Science Jobs

The Data Scientist will develop performance evaluation frameworks for autonomous vehicles, using statistical models and metrics to ensure quality and safety of the Waymo Driver, while collaborating with engineering teams on simulation data and product readiness.

The Bioinformatics Data Scientist will analyze multi-omics data, develop methods, build tools, and communicate findings to support drug development decisions.

Data Scientists develop and maintain AI software and systems, focusing on machine learning algorithms, model deployment, and data analysis for predictive maintenance and failure prediction.

Lead product-focused adoption analytics by sourcing and analyzing enterprise telemetry, designing scalable data pipelines, building BI dashboards and executive narratives, conducting forensic investigations, and partnering cross-functionally to measure and optimize product and AI agent impact.

Lead end-to-end analytics workstreams for pricing, risk, and portfolio strategy within Caremark. Design and build models and analytics products, set technical direction, mentor junior data scientists, and present insights to senior stakeholders to drive business decisions.

Lead development and deployment of analytical models, metrics, and tools for Hockey Operations. Produce visualizations and reports, communicate insights to coaches and decision-makers, mentor junior analysts, collaborate to deliver production-ready data products, and advance the organizations hockey analytics capabilities.

Build Scout Motors' first enterprise probabilistic demand forecast from reservations and limited signals, solve cold-start forecasting, own demand data and pipelines end-to-end, productionize models with engineering into the IBP product, set up monitoring and measurement, and translate results for cross-functional stakeholders.

Lead growth-focused data science initiatives, owning LTV prediction models across countries and channels. Translate business questions into models, analyze large customer and marketing datasets, evaluate acquisition quality, monitor and productionise models with engineering partners, and drive data-informed growth and retention decisions.

Lead ad-quality analytics: build data pipelines, dashboards, and automated reports; design and analyze A/B tests and causal inference studies; develop forecasting and modeling solutions; partner with product, engineering, and business stakeholders to translate findings into executive recommendations and drive ad product improvements.

Lead ad-quality and ad-product analytics: build pipelines, dashboards, and automated reports; design and analyze A/B tests and causal inference studies; develop models and alerts; translate findings into strategic recommendations for stakeholders and executives.

Senior data scientist role requiring 10–15 years and an MS/PhD to build and deploy ML models (NNs, SVM, Random Forest, collaborative filtering), lead NLP/text-mining projects, use R/Python/IBM SPSS, manage model lifecycle, communicate results to management. Logistics/shipping and cognitive computing experience are desirable. Contract role requiring US work authorization.

Senior Data Scientist with 10–15 years (MS/PhD) to design and develop ML/NLP models, manage model lifecycle, implement recommendation and pattern-recognition algorithms, use R/Python/SPSS, communicate results to leadership. Logistics/shipment processing experience and cognitive computing are desirable.

The Senior Data Scientist will design, develop, and deploy AI/ML capabilities for US Government customers, including machine learning algorithms and generative AI applications. Responsibilities include managing data pipelines, conducting R&D, and supporting pre-sales efforts.

Seeking a Senior Data Scientist to design, code, and improve models and algorithms, evaluate decision systems, and partner with teams to translate data into impactful behaviors.

Lead marketing measurement and optimization by building statistical and ML models (propensity, forecasting, LTV), attribution methods, and causal inference analyses. Design experiments, automate ETL and reporting pipelines, create dashboards, and translate insights into strategic recommendations to drive advertiser acquisition, retention, and revenue growth.

Lead data strategy and analytics for cognitive assessment studies: design algorithms and models, implement CDISC-compliant data transfers (SDTM/ADaM), produce statistical analysis plans and scientific reports, build and maintain analytics pipelines, dashboards, and visualizations, ensure data quality and QC, and present results to sponsors while managing multiple projects independently.

Lead development and operationalization of data-driven financial forecasting (time-series, AI/ML, causal, Monte Carlo). Integrate statistical outputs into Anaplan planning, establish model governance/validation, build templates/dashboards, collaborate with FP&A and Data/IT, and create a Center of Excellence for advanced forecasting and repeatable playbooks.

Embed in a core business area to define the right problems, design metrics, run analyses and experiments, build reports, surface insights, and drive data-informed decisions end-to-end to improve product, growth, AI/automation, or partnerships.

Embed in a business unit to define analytical problems, build metrics/reports/experiments, pull and interpret data, surface insights, and drive recommendations to improve product, growth, AI/automation, or partnerships.

Embed within a core business area to define problems, build metrics and analyses, run experiments, generate insights from data, and drive decisions end-to-end to improve product, growth, AI/automation, or partnerships.

Embed with a core business area to define problems, build metrics, run analyses and experiments, deliver data-driven recommendations, and drive outcomes end-to-end across growth, product, AI, or partnerships.

The Senior Data Scientist will develop analytical solutions for marketing and risk management, manage data sets, and support modeling activities, collaborating with teams to deliver actionable business insights.

As a Senior Data Scientist at Lyft, you will use data to drive decisions, design experiments, and optimize risk strategies by partnering with cross-functional teams to enhance safety and reduce claims costs.

As a Senior Data Scientist, you'll leverage data to shape business decisions and drive initiatives to reduce accident frequency and claims. You'll partner with various teams to design experiments and predictive models for risk optimization.

The Senior Data Scientist will design and deploy machine learning models for yield optimization and inventory allocation in programmatic advertising, ensuring effective real-time decision-making and collaboration across teams.