Top Data Science Jobs

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.

Join Oliver Wyman DNA as a Data Scientist / Senior Data Scientist to design, build, and deploy analytics and ML solutions for global clients, collaborate with consulting teams, communicate model insights, advocate modelling best practices, and develop proprietary algorithms and tools. Role requires working with large-scale data, shaping proposals, and occasional client travel.

Lead high‑impact data science initiatives across Global Operations, building production‑grade analytics, models, and dashboards (primarily in R), using Snowflake and Posit platforms, applying advanced statistics, ML, and LLM techniques, mentoring junior staff, and presenting insights to senior leadership to reduce supply chain risk and optimize manufacturing.

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.

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.

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.

The Senior Data Scientist will develop machine learning systems for fraud prevention using behavioral data, collaborate across teams, and mentor junior scientists.

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 design and implementation of end-to-end data science architectures for multi‑INT geospatial intelligence. Build production Python pipelines, apply ML, network analytics, and advanced spatial techniques, create interactive visualizations and dashboards, mentor team members, liaise with stakeholders, and produce mission-ready intelligence products adhering to IC standards.

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

Lead development and deployment of predictive, risk-scoring, and optimization models for behavioral health using claims and clinical data. Define data science infrastructure, perform deep analytics, translate models into client-facing impact and dashboards, and lead cross-functional product and client engagements.

Lead and deliver complex data science and engineering projects: design data models and scalable pipelines, build and productionize statistical and ML models (Python/R), perform data integration and quality work, generate actionable insights for executive stakeholders, and provide domain leadership in Payment Integrity/FWA.

Lead product-facing analytics for creative systems, define measurement frameworks, design experiments, drive product roadmap decisions, build monitoring and diagnostics, and partner with ML, Product, and Engineering to improve creative performance and advertiser outcomes.

Hands-on senior data scientist splitting work between SQL Server data engineering (ETL, pipeline modernization, data quality) and analytics delivery (Power BI semantic models, dashboards, statistical and predictive modeling). Duties include designing migration options, implementing Python-based cleansing and reproducible analytics, building ETL/deployment processes, responding to ad hoc leadership data requests, and documenting systems for stakeholders. Must obtain VA background/PIV and be a U.S. citizen.

The Senior Data Scientist will design and deploy scalable ML solutions, develop NLP systems, and oversee the ML lifecycle while collaborating with cross-functional teams and mentoring others.

Lead data science and analytics efforts for a DoD client: architect and implement data analytics solutions, collect and normalize complex data, build Power BI dashboards and predictive models, document data quality, and present findings. Work closely with stakeholders and support on-site delivery in Quantico and Stafford, VA.

Lead Data Scientist will support advanced analytics, predictive modeling, and machine learning initiatives for clinical decision-making in healthcare. Responsibilities include algorithm design and compliance with VA governance standards.

The Data Product Scientist will analyze data, build machine learning models, translate business needs into data questions, and develop scalable data products. Responsibilities include training users, creating documentation, and ensuring effective communication across teams.

The Senior Data Product Scientist will lead data science initiatives, build scalable data products, mentor team members, and translate complex data insights into business recommendations.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.