Top Data Science Jobs

As a Senior Data Scientist, you will define AI evaluation frameworks, analyze educational data, and collaborate with cross-functional teams to ensure AI tools meet quality standards.

As a Senior Data Scientist at Omnissa, you will lead the data science team to innovate AI/ML solutions, develop advanced analytics models, and collaborate on integrating machine learning into core platform features.

Lead analytics to inform Finance and Product for the Fortnite ecosystem. Maintain core reporting and forecasting, build time-series models, develop shared data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate cross-functionally to improve data-driven decision-making.

Lead analytics and forecasting for the Fortnite ecosystem: maintain core reporting, build time series forecasts and department-wide data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate with engineering and product to drive data-driven decisions.

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, engaging with customers to implement effective AI-driven search strategies and improve decision-making outcomes.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Lead development of Vanta's business analytics function: build scalable product data assets, define measurement frameworks, use AI-assisted analytics, partner with cross-functional teams, and deliver executive-level recommendations to drive product and business decisions.

Lead analytics effort to collect, clean, integrate, analyze data and build/monitor predictive models (including recommendation systems). Partner with stakeholders, mentor data scientists, perform EDA, root cause analysis, and consult on analytics-driven strategies.

Lead end-to-end analytical design and validation for Signals, Forecasting, Simulation, Predictions, and Cohort Detection. Develop causal inference, time-series forecasting, survival/retention, and clustering methods; document assumptions and validation; partner with engineers to productionize models; ensure statistical rigor, significance correction, and trustworthy outputs that translate into clear product experiences.

Lead development of scalable analytic solutions that transform complex intelligence data into actionable insights. Design and implement data pipelines, automation, data models, visualizations, and production-ready Python tools. Provide technical leadership, rapidly prototype solutions, and collaborate with multidisciplinary IC teams to modernize analytic workflows and support operational decision-making.

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 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.

Use large company datasets to build, validate, and deploy predictive models and algorithms to optimize product, marketing, and business outcomes. Partner with stakeholders to identify opportunities, implement models, monitor performance, and ensure data accuracy. Analyze third-party analytics and distributed data sources, create data architectures, and present insights to cross-functional teams.

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 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.