841 Data Scientist jobs available for remote work from home. Apply for positions such as Data Scientist II, Outcomes Research, Data Scientist – SaaS Insurance Analytics Platform (LLM Fine-Tuning & Azure), Principal Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead and execute HEOR and real-world evidence projects in collaboration with external pharma and academic partners. Develop analytical infrastructure and translate complex research into actionable clinical insights.
Develop and optimize large language models and RAG pipelines to extract insights from insurance data. Deploy and manage these models using containerized workflows within the Azure cloud ecosystem.
Design, build, and deploy advanced analytics and machine learning solutions to power the trading platform and business operations. Own the full data science lifecycle from exploratory analysis and model development to production deployment and monitoring.
Research and develop advanced statistical and machine learning models for large-scale, high-dimensional energy data. Productize these models into production-quality code and collaborate with cross-functional teams to solve business challenges.
Lead end-to-end data science experiments focusing on graph analytics, entity resolution, and topological risk modeling. Perform rigorous exploratory data analysis on government datasets and develop interpretable classifiers and GNNs.
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Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering teams to solve ambiguous problems and communicate data-driven conclusions to senior stakeholders.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Analyze customer behavioral patterns and design experiments to evaluate product and marketing changes. Build models and datasets to improve customer segmentation and forecasting while partnering with cross-functional teams to influence business priorities.
Own end-to-end attribution algorithms for specific risk categories to identify and disrupt crypto-enabled crime networks. Translate domain expertise into production-grade intelligence by shipping scalable code, ML models, and data pipelines.
Own end-to-end attribution algorithms for specific risk categories to identify and disrupt illicit crypto-enabled crime networks. Translate domain expertise into production-grade intelligence by shipping heuristics, ML models, and scalable data pipelines.
Build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of AIOps and cloud-native architectures. Act as a technical mentor to junior developers and collaborate with customers to translate business challenges into ethical AI solutions.
Lead the delivery of large-scale, production-grade AI solutions and set the strategic direction for AI and data science across the business. Mentor a community of data scientists and AI engineers while managing C-level stakeholder relationships to drive business value.
Architect and deliver advanced AI solutions using machine learning and generative AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Lead the technical development and automation of Omada's enrollment forecasting engine to replace manual processes with a production-grade system. Collaborate with cross-functional teams to translate commercial questions into scalable analytical solutions and provide technical leadership within the data organization.
Design and maintain Marketing Mix Models and geo-based causal inference experiments to quantify the incremental impact of marketing investments. Translate complex measurement findings into actionable budget recommendations for senior Marketing and Finance stakeholders.
Lead large-scale data science initiatives to drive business profitability and improve customer experience through advanced analytics. Responsible for designing algorithms, mentoring junior data scientists, and managing the library of reusable code.
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Collaborate with cross-functional teams to solve business challenges using advanced data analysis and machine learning models. Focus on cleaning large datasets, conducting exploratory analysis, and implementing optimization problems for supply chain and pricing.
The role focuses on driving product growth through data-driven insights, experimentation, and applied analytics to improve patient engagement and clinical efficiency. You will collaborate with cross-functional teams to design experiments and translate complex data into actionable business strategies.
The role involves designing and implementing end-to-end ML and Deep Learning pipelines for regression and industrial control use cases. Responsibilities include optimizing neural network architectures and collaborating with cross-functional teams to integrate solutions into production.
Lead the development of scalable ML solutions and define standardized data science processes to drive business value. Collaborate with stakeholders to translate complex business problems into actionable data-driven recommendations and production-ready models.
Lead the full machine learning lifecycle from research and hypothesis testing to production deployment and maintenance. Design scalable ML systems and collaborate with product and backend teams to integrate models into existing infrastructure.
Own the end-to-end ML/AI lifecycle from defining success metrics and prototyping to deploying production-ready models. Collaborate with engineering and product teams to automate complex tax and accounting workflows using LLMs and traditional ML.
Develop next-generation weather forecasting systems for India by running regional NWP models and creating large-scale ML-ready datasets. You will integrate physics-based modeling with machine learning to improve nowcasting and extreme event prediction for the renewable energy sector.
Develop and operate cycling data assimilation pipelines to improve weather forecasting models for the renewable energy sector. Create large-scale, ML-ready weather datasets and integrate physics-based modeling with machine learning systems.
Lead the development of machine learning methods and analyses of high-dimensional longitudinal patient data to generate clinical insights. Collaborate with cross-functional teams to build and operationalize ML pipelines within a computational platform for drug discovery.
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Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define the long-term technical roadmap for marketing measurement and quantify the incremental impact of spend using MMM and MTA systems.
Guide product strategy by identifying growth opportunities and conducting exploratory analyses to improve user attraction and retention. Design business health metrics and drive experimentation to maximize learning and guide investment decisions.
Own end-to-end data science workflows to build and productionize ML and LLM-powered solutions for healthcare payment intelligence. Lead high-impact initiatives and set technical direction through mentorship and design reviews to improve business outcomes.
Architect and deliver advanced AI solutions using machine learning, generative, and agentic AI technologies. Provide technical leadership and mentor a small team while collaborating with clients to translate business challenges into trustworthy AI solutions.
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