468 Data Scientist jobs in United States available for remote work from home. Apply for positions such as Manager, Data Scientist, Data Scientist (Remote), Senior Data Scientist III and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will deliver analytics and insights to support clinical operations by designing and implementing data solutions on Google Cloud Platform. This role involves automating manual data processes and developing business logic metrics for Tableau dashboards to support prior authorization insights.
Design, build, and implement advanced machine learning models to optimize product recommendations and user subscription workflows. Lead data science projects while collaborating with product, growth, and engineering teams to drive long-term product goals.
The Senior Data Scientist will lead the development and deployment of advanced AI and machine learning models, specifically focusing on NLP and legal reasoning systems. They will also collaborate with cross-functional teams to design APIs and mentor junior team members on best practices.
You will own the analytical understanding of product-led growth performance and partner with leadership to turn behavioral insights into actionable product bets. Additionally, you will lead experimentation, build scalable analytical systems, and leverage AI to automate and accelerate data-driven decision-making.
The Senior Data Scientist will develop data-driven solutions to complex business challenges and utilize predictive modeling to optimize customer experience and operational efficiencies. They will also collaborate with stakeholders to identify opportunities for leveraging data and monitor machine learning model performance.
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The Senior Data Scientist will build and scale control performance monitoring systems to identify emerging risks and evaluate control effectiveness. They will partner with cross-functional teams to define risk guardrails and automate measurement frameworks across product governance.
The Senior Data Scientist will design, develop, and evaluate production-grade machine learning models to support healthcare operations and business performance. They will partner with stakeholders to translate business questions into analytical approaches and provide actionable insights through dashboards and reporting.
You will design and implement measurement frameworks for offline and out-of-home marketing campaigns to evaluate their effectiveness. Additionally, you will partner with marketing leadership to size strategic bets and build models that integrate offline and digital data into a coherent view.
The Data Scientist will analyze healthcare claims and authorization data to identify trends, outliers, and opportunities for improvement. They will also develop, train, and implement large language models and algorithms to support business decision-making and operational workflows.
The Staff Data Scientist will design, develop, and deploy predictive and risk-adjustment models while setting methodological standards for the data science practice. They will collaborate with product and clinical teams to translate ambiguous goals into production-ready solutions and measure the impact of these models on patient outcomes.
The Data Scientist will perform analyses for Demand Side Management program evaluations and research for utility clients. Responsibilities include conducting statistical and econometric data analysis, automating data-flow processes, and communicating findings through reports and presentations.
The Data Scientist will build trusted datasets and deploy statistical and machine-learning models to address clinical and operational questions. They will also apply NLP and LLMs to clinical text while ensuring data security and clear communication with stakeholders.
Develop and implement machine learning and LLM solutions to improve healthcare outcomes and operational efficiency. Collaborate with cross-functional teams to build, deploy, and maintain scalable models while ensuring rigorous performance evaluation.
Design and develop enterprise-grade Machine Learning and Generative AI solutions to solve complex business challenges. Define and implement evaluation frameworks for agentic AI systems while ensuring production-ready quality and performance.
You will lead the technical direction and scaling of core AI capabilities, including search, ranking, recommendation systems, and generative visual ML pipelines. You will also drive end-to-end product innovation by collaborating with cross-functional teams to advance production systems to enterprise-grade infrastructure.
The Operations Data Scientist analyzes complex operational datasets to identify trends, anomalies, and potential system failures. They develop predictive models and automated solutions to improve system reliability and support data-driven decision-making.
The Senior Data Scientist will lead the design of broker-level success metrics and causal inference frameworks to measure product and go-to-market impact. They will partner with cross-functional teams to build scalable analytical foundations and provide data-driven recommendations to senior leadership.
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You will own the end-to-end delivery of strategic data science and AI solutions to improve AI infrastructure reliability, efficiency, and capacity planning. This involves collaborating with cross-functional teams to translate complex business problems into actionable, scalable, and data-driven insights.
You will be embedded within a core business unit to define key metrics, build reports, and conduct analyses that inform strategic decision-making. You will own the analytical function end-to-end, driving outcomes by translating data insights into actionable recommendations for stakeholders.
You will be embedded in a core business unit to define analytical problems, build reports, and drive data-informed decision-making. You will own the analytical function end-to-end, from defining metrics and running experiments to presenting actionable recommendations to leadership.
You will be embedded in a core business unit to define key metrics, build reports, and run analyses that inform strategic decision-making. You will also drive outcomes by providing actionable recommendations to cross-functional partners in product, growth, and operations.
The Senior Data Scientist executes statistical and mathematical analyses to support business decision-making and manages the end-to-end development of machine learning models. They also mentor junior team members and collaborate with cross-functional stakeholders to ensure successful model deployment and integration.
The Senior Data Scientist will partner with stakeholders to design, prototype, and deploy machine learning models and predictive algorithms. They are also responsible for building end-to-end ETL pipelines and communicating complex findings to both technical and non-technical audiences.
The SI&OP Data Scientist will own and develop predictive models to forecast demand, optimize inventory, and align production activities across all business units. They will translate complex data into actionable operational insights and maintain automated reporting dashboards to track key performance indicators.
The Senior Data Scientist will drive high-impact engineering projects by developing statistical models and cloud-based AI solutions for strategic customers. They will also define business strategies, contribute to open-source assets, and ensure data integrity through collaborative innovation.
You will be responsible for the end-to-end development and maintenance of computer vision systems, from model training to production deployment. Your work will involve ensuring these systems operate smoothly on both on-premise servers and in the cloud to support automated facility operations.
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You will develop and deploy advanced LLM/ML models to enhance community support, automate evaluation processes, and curate synthetic datasets. Additionally, you will collaborate cross-functionally to identify business opportunities and drive data-driven product improvements.
The Data Scientist will evaluate and implement data migration strategies, including building analytical models to predict risks and ensure data quality. They will also design internal data pipelines and coordinate end-to-end migration projects across cross-functional teams.
Lead and execute HEOR and real-world evidence projects in collaboration with external partners and internal stakeholders. Develop analytical infrastructure and translate complex research findings into clinically actionable insights for clients.
The Data Scientist II will develop interpretable AI and analytics solutions to support clinical, commercial, and enterprise decision-making. They will own end-to-end workstreams from research design and modeling to deployment and stakeholder communication.
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