Data Scientist 3
Design and develop systems to analyze unstructured big data to generate actionable insights for product and service enhancement. Collaborate with teams to identify analytical questions and communicate findings to business managers.
460 Data Scientist jobs in United States available for remote work from home. Apply for positions such as Data Scientist 3, Research Data Scientist, Data Scientist | Modeling and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and develop systems to analyze unstructured big data to generate actionable insights for product and service enhancement. Collaborate with teams to identify analytical questions and communicate findings to business managers.
The Research Data Scientist will lead the development and application of computational and statistical methods, including AI and machine learning, to analyze biomedical data. They will also manage database-to-deployment pipelines and communicate scientific findings through publications and conferences.
Develop and advance machine learning models to optimize healthcare claim audits and improve financial outcomes. Create technical frameworks and data pipelines to enhance team efficiency and model precision.
The Senior Data Scientist will design and deploy advanced machine learning systems for device identification and fraud prevention. They will also contribute to the development of scalable data pipelines and collaborate with cross-functional teams.
The Lead Data Scientist will own the science by designing and leading experimentation programs like A/B tests and causal inference studies that inform product and go-to-market decisions. They will also build and deploy predictive models for business forecasting and lead and mentor a team of analysts and data scientists.
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The role involves designing and analyzing experimental tests to measure advertising incrementality and building causal and marketing mix models for multi-channel attribution. Key tasks include developing and productionizing scalable data pipelines for event-level data ingestion and ensuring measurement datasets are clean and privacy-compliant.
This role involves owning the end-to-end development of data-driven solutions on the RiskOS platform, spanning data exploration, modeling (including Generative AI agent design), production deployment, and monitoring. The Staff Data Scientist will leverage expertise in fraud/risk management to develop detection models and integrate LLM-powered tools to enhance analytics and workflows.
The Data Scientist will build predictive models using scientific computing and statistical methods to locate ore-forming processes and predict mineralization in 2D and 3D, while helping to build a worldwide dataset with careful uncertainty quantification. They will create models and develop software to accelerate critical battery metal discovery, working closely with geoscientists to guide exploration and field programs.
The Data Scientist will build predictive models using scientific computing and statistical methods to locate evidence of ore-forming processes and predict mineralization locations in 2D and 3D. They will also help build a worldwide dataset, create models, and develop software to accelerate the discovery of critical battery metals.
The role involves setting the direction for the data science function, owning company-wide metric strategy, and leading the experimentation framework and standards across product squads. This person will also drive strategic opportunity sizing and own the predictive modeling and machine learning work for the company.
The Staff Data Scientist will take deep ownership of high-impact advertising problem spaces, specializing in measurement, identity, and signal quality to advance the intelligence powering the advertiser experience. Key duties include designing identity resolution models, advancing lift methodologies and experimentation, maximizing signal value for predictive performance, and defining ground truth evaluation frameworks.
The Principal Data Scientist will serve as the statistical authority, translating complex data science findings into clear, actionable narratives for executive leadership, including the CEO and Board of Directors. This role involves advancing the state-of-the-art in statistical methods application and raising the communication bar across the entire Data Science organization.
The Senior Data Scientist will translate business needs into actionable data insights to optimize existing and new product performance and user experience. This role involves close collaboration with cross-functional teams to drive product innovation and maintain reliable analytics infrastructure.
The role involves turning data into actionable insights, driving business decisions, and owning analytics projects from start to finish. Day-to-day tasks include developing customized reporting and analytics tools tailored to client needs.
The Data Scientist will translate complex medical policies and clinical criteria into executable SQL and Python code, focusing on building robust clinical feature pipelines from extracted signals in medical records. They will also own the measurement, evaluation, and continuous quality improvement of the AI system responsible for extracting structured clinical information.
This role is responsible for leading the build and deployment of classical Machine Learning and Generative AI systems to generate and validate concepts related to billing errors, audits, and fraud within large-scale healthcare payment data. The Staff Data Scientist will own the end-to-end delivery process, from problem framing and data strategy through model development, evaluation, deployment, and monitoring, focusing on reliability and customer outcomes.
The Staff Data Scientist will be responsible for advancing machine learning models used for identifying and auditing claims errors, requiring deep dives into clinical and coding data to improve audit precision. This role also involves enhancing data pipelines, modeling infrastructure, and team tools to scale capabilities and ensure model insights align with real business needs.
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The role involves designing, developing, and rapidly deploying scalable AI solutions to transform data into strategic capabilities for national security challenges. Responsibilities include developing new AI methods, rapid prototyping of models, and taking full accountability for client problems from discovery through production deployment.
The Senior Data Scientist will proactively explore company data to identify customer problems and opportunities, translating ambiguous business questions into clear analyses, models, and recommendations. They will partner with Product Managers to shape roadmaps and build/ship production-grade predictive and descriptive models powering customer-facing features.
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by solving product and business challenges. You will work closely with various teams to understand product usage patterns and make data-driven decisions.
As a Senior Full Stack Data Scientist, you will partner with Product Management and Engineering to shape feature roadmaps and design metrics to evaluate success. You will build scalable analytics frameworks to uncover usage patterns and improve customer experience.
Model and analyze regulatory impact while supporting the development of statistical models and machine learning algorithms. Assist in data collection and preparation for economic analysis, and generate visualizations to convey research findings.
The Research Scientist III analyzes emergency response data to develop models and findings that support fire safety science. They are responsible for creating data visualizations, written reports, and reusable data products to enhance the Fire Safety Research Institute's thought leadership.
Lead strategic AI and data science initiatives to drive enterprise AI adoption and data readiness. Design and implement advanced analytical solutions, including LLM-based tools and machine learning models, to translate business needs into scalable insights.
The Senior Data & Applied Scientist will own product analytics and insights to drive strategy for Microsoft skilling experiences. They will design measurement frameworks, conduct causal analyses, and partner with cross-functional teams to improve learner proficiency and engagement.
The Decision Scientist will activate clinical data repositories by building feature stores, documentation, and reusable data assets to support analytics and AI products. They will act as a bridge between clinical data assets and stakeholders, ensuring data is well-documented, compliant with regulatory standards, and fit for purpose.
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The role involves serving as the scientific business owner for digital tools and data domains supporting molecular cloning and construct design. You will translate complex scientific needs into clear product priorities and system requirements while partnering with technology teams to implement scalable digital capabilities.
Collaborate with business leaders to translate complex problems into data science projects and develop predictive models to inform business strategy. Create detailed dashboards and reports to communicate actionable insights to both technical and non-technical audiences.
Establish and maintain metadata governance frameworks and automated tagging processes to enhance data discoverability and interoperability for a DoD customer. Manage data governance workflows and submit compliance reports detailing lineage tracking and security enhancements.
Establish and maintain metadata governance frameworks to ensure compliance with DoD policies and interoperability. Develop automated tagging processes and manage data governance workflows within the Common Intelligence Picture platform.
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