841 Data Scientist jobs available for remote work from home. Apply for positions such as Lead Data Scientist, Product , Staff Data Scientist, Staff Data Scientist, Marketing Inference and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the growth strategy and experimentation culture to drive activation, engagement, and monetization. Build self-service analytics tools and collaborate with product and engineering teams to design and analyze experiments.
Develop an end-to-end understanding of employee relations data to build analytical models and customer-facing data products. Lead the statistical rigor of benchmarking capabilities and oversee the quality and governance of AI/ML features.
Develop and maintain marketing models, including Bayesian Marketing Mix and Multi-Touch Attribution models, to optimize marketing efficiency. Partner with the marketing team to analyze uplift tests and drive data-driven business decisions.
Develop R and R Shiny dashboards and applications to support clinical trial data review and decision-making. Create reusable code and visualizations to transform complex data into actionable insights.
The Senior Data Scientist designs and deploys predictive models and advanced analytics to drive partner acquisition, retention, and growth. They also build AI-driven agentic workflows to automate analytical tasks and mentor the team in AI literacy.
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The Senior AI Engineer / Data Scientist will lead end-to-end ML implementations with clients, translating business problems into technical solutions. They will also design and maintain production-grade ML pipelines and deploy advanced Generative AI and NLP applications.
Drive strategic product decisions by analyzing user behavior, creator activity, and economy verticals. Design experiments and build durable analytical assets to improve product metrics and decision-making frameworks.
The role involves analyzing diverse datasets to optimize underwriting, pricing, and cyber risk selection. You will develop statistical and machine learning models to provide data-driven insights and automate underwriting workflows.
The role involves analyzing diverse datasets to optimize underwriting, pricing, and risk selection for cyber insurance. You will develop statistical models and automate workflows while collaborating cross-functionally to improve risk assessment methodologies.
Drive the end-to-end development and deployment of machine learning capabilities for customer-facing SaaS products. Partner with product and engineering teams to integrate ML models into workflows and establish evaluation strategies to measure business impact.
Lead the design, development, and deployment of AI/ML models for the PreK-12 business unit. Collaborate cross-functionally with Product, Engineering, and Learning Design teams to create world-class educational experiences.
Drive user growth, engagement, and revenue by owning end-to-end product analytics and designing rigorous A/B experiments. Partner with cross-functional leaders to translate complex data insights into actionable product strategy and roadmap prioritization.
Serve as the primary data science partner to the Marketing team to build a measurement foundation and KPI frameworks. Develop core models for LTV, ROAS, and CAC to influence budget allocation and growth strategies.
Drive user growth, engagement, and revenue by designing and executing ML projects and A/B experiments. Partner with product teams to translate business questions into analytical models and actionable product recommendations.
The role involves building measurement frameworks and performing strategic analysis to optimize digital asset products like USDC. You will partner with Finance, Treasury, and Risk teams to translate business needs into scalable data solutions and automation.
Own retention and churn by building predictive models to identify at-risk customers and power personalized interventions. Manage the full ML lifecycle from design and experimentation to production deployment and monitoring.
Develop and improve machine learning algorithms for face authentication and fraud prevention. Research and prototype presentation attack detection methods to enhance biometric security and accuracy.
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Analyze medical and pharmacy claims data to predict healthcare provider prescribing behavior and develop AI-powered synthetic personas. Build scalable data pipelines and backend APIs on AWS to deliver market intelligence and forecasting insights.
Research and develop data science methods to improve the predictive performance of the NEXUS Large Tabular Model across diverse enterprise datasets. Collaborate with R&D and Engineering teams to ship production-grade Python components and validate approaches on real customer data.
Own and evolve pricing models across a diverse portfolio of collectibles, including designing approaches for sparsely-traded assets. Build data quality systems and ship production code into pricing pipelines in collaboration with engineering and operations teams.
Lead the design and deployment of fraud prevention models and machine learning solutions across global markets. Partner with cross-functional teams to align data science capabilities with commercial objectives and enterprise governance standards.
Lead the design and deployment of fraud prevention models and machine learning solutions across global markets. Partner with cross-functional teams to align data science capabilities with commercial objectives and enterprise governance standards.
Design and deploy machine learning models and optimization solutions to improve global logistics delivery operations. Collaborate with cross-functional teams to translate real-world constraints into scalable mathematical models and production-grade code.
Design and develop systems to analyze unstructured big data to generate actionable insights for client services and product enhancement. Collaborate with product teams to identify analysis questions and develop automated processes to cleanse and integrate large datasets.
Lead high-impact, cross-functional data science initiatives to translate complex data into scalable intelligence for business growth and operational optimization. Design advanced analytical models and experimentation frameworks while partnering with senior leadership to shape data-driven strategies.
Design and analyze complex experiments and causal inference models to optimize product changes and learning interventions. Apply psychometric methods and advanced statistical modeling to measure learner knowledge and improve educational outcomes.
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Design, develop, and industrialize high-value AI solutions including Generative AI, RAG architectures, and AI agents for major corporate clients. Lead the technical benchmarking of AI solutions and contribute to the development of internal R&D assets and AI roadmaps.
Develop and manage the full lifecycle of application and behavioral credit scoring models to improve onboarding and portfolio profitability. Collaborate with product and risk teams to translate models into decision engine logic and refine credit policies.
Partner with product and business leaders to transform payments data into strategic insights and scalable analytical frameworks. Lead complex data science initiatives to optimize customer behavior, product performance, and the onchain payments ecosystem.
Lead the development of scalable data models and pipelines to support pharmacy interventions and provider incentive programs. Partner with cross-functional teams to translate business requirements into technical plans and BI dashboards for internal and external stakeholders.
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