841 Data Scientist jobs available for remote work from home. Apply for positions such as Senior Data Scientist , Staff Data Scientist, Senior Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Build, deploy, and maintain production systems for measurement products including MMM and Recommendation Systems. Translate statistical methodologies into scalable customer-facing capabilities while collaborating across engineering and product teams.
Serve as a technical anchor to solve complex modeling problems and define the data science and ML technology stack. Collaborate with engineering and leadership to integrate models into production and shape the overall data strategy.
Design and develop custom machine learning models for production to drive business decisions in fraud detection and customer engagement. Lead the statistical design of A/B tests and collaborate with MLOps to deploy and maintain real-time models.
Design and manage search and recommendation models to enhance content matching and distribution efficiency. Lead the development of core recommendation modules and collaborate with cross-functional teams to define success metrics.
Lead the data science strategy for complex customer engagements by turning ambiguous business problems into scalable AI solutions. Provide technical leadership in modeling, evaluation, and productionization while mentoring other data scientists and architects.
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Lead high-priority initiatives to build and maintain data models and machine learning models that support the Commercial team and AI Voice Agent program. Collaborate with cross-functional stakeholders to design experiments and create reporting dashboards that impact the company's north star metrics.
Own end-to-end analytical problems by combining statistics and machine learning to improve retail AI product performance. Partner with cross-functional teams to define metrics, build predictive models, and deliver actionable insights.
Design and execute terminology libraries and source-to-target mappings to ensure data integrity across clinical research products. Develop scalable models to automate data mapping and contribute to the extension of healthcare ontologies and data standards.
Lead the design and development of scalable price and promotion optimization solutions to drive smarter retail pricing decisions. Collaborate with cross-functional teams to deliver production-ready data science models and mentor team members on best practices.
Analyze complex SAP and non-SAP datasets to drive business decisions using statistical methods and predictive modeling. Develop analytic pipelines and communicate findings through dashboards, KPIs, and AI/ML-based decision frameworks.
Lead the end-to-end delivery of strategic AI and data science solutions to drive business transformation for influential organizations. Partner with stakeholders to translate complex business problems into actionable, ethical AI-driven strategies and production-ready models.
Define and operationalize core Trust metric frameworks to measure platform harm and assess risk. Partner with cross-functional teams to evaluate ML and LLM-based safety systems and monitor model health in production.
Lead the development, productionization, and operationalization of clinical machine learning products using large-scale laboratory data. Partner with clinicians and engineers to deliver compliant models that improve patient care and healthcare outcomes.
The role focuses on the extraction, transformation, and loading of healthcare records from Epic EHR into the OMOP Common Data Model. Responsibilities include collaborating with clinical informaticists to ensure accurate data mapping and documenting conversion processes.
Lead the analytical strategy and experimentation frameworks to solve complex business problems across product, growth, and monetization. Partner with senior leadership to translate data findings into actionable recommendations that drive company growth.
Lead the design, development, and deployment of AI/ML models to enhance educational experiences for the Higher Education business unit. Collaborate cross-functionally with Product, Engineering, and Learning Design teams while guiding junior colleagues on shared projects.
Partner with cross-functional teams to deliver data-powered tools, automations, and success metrics. Balance speed and rigor to build scalable data products while championing data adoption across the company.
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The Data Scientist will deliver data analytics projects and implement high-impact strategies for Visa clients in the Asia Pacific region. Key duties include driving credit card portfolio strategies and acting as an analytics advocate to unlock business value.
Design and deploy AI-powered internal applications, copilots, and scalable workflow accelerators using Generative AI. Build reusable AI components and retrieval pipelines while maintaining statistical models to support organizational automation and optimization.
Develop and implement AI and data science models to solve industrial use cases in manufacturing and operations. Collaborate with stakeholders and data engineers to translate business challenges into scalable, data-driven solutions.
Lead the development of analysis specifications and programs for Real-World Data research across diverse therapeutic areas. Ensure methodological rigor through patient cohort development and the validation of key variables.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists on statistical rigor.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists across the Consumer organization.
Design and implement AI-native agentic systems and multi-agent workflows to extract structured knowledge from historical and genealogical records. Innovate using state-of-the-art AI for tasks like OCR, NER, and relation extraction while collaborating with ML Ops for cloud deployment.
Lead the full lifecycle of data science projects to develop AI models that predict acute healthcare utilization and improve population health outcomes. Collaborate with clinical leaders to translate complex data into actionable care pathways and mentor junior data scientists.
Partner with cross-functional teams to shape product strategy and business decisions for crypto products. Develop metrics and analytical frameworks to understand customer behavior and improve operational efficiency.
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Develop predictive agronomic models and reliable data pipelines to address precision agriculture challenges. Lead research projects using statistical and machine learning techniques while providing technical mentorship and agile coordination for junior data scientists.
Design, build, and deploy AI-powered solutions and agentic workflows to deliver business outcomes across insurance and investment sectors. Own the end-to-end delivery of LLM-enabled analytics and advanced statistical models while ensuring responsible AI controls.
Review and refine AI-generated outputs related to data science and machine learning to ensure accuracy and real-world relevance. Draft realistic data science scenarios and identify reasoning gaps in AI content.
Build and improve AI-native products and data-driven systems using LLMs and modern ML workflows. Collaborate with startup teams to prototype AI features and optimize model reliability and system performance.
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