841 Data Scientist jobs available for remote work from home. Apply for positions such as Senior Data Scientist, Staff Engineer - Data Scientist, Applied Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and implement advanced ML models and statistical methods to optimize forecasting and decision-making for a DoD customer. Manage data provenance, lineage reporting, and resource utilization within an Agile development framework.
Develop and deploy machine learning models for predictive maintenance, anomaly detection, and demand forecasting within industrial environments. Bridge OT/IT systems to extract real-time data and translate complex model outputs into actionable business recommendations.
Collaborate with stakeholders to translate complex business problems into testable hypotheses and end-to-end data science solutions. Develop scalable product features from customer insights and perform advanced statistical analyses on operational data.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and collaborate with stakeholders to solve business problems.
Develop and optimize predictive models for marketing analytics, including fraud detection and user-expert matching systems. Improve MLOps processes and provide analytical support to unlock new business directions.
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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.
Build, validate, and improve machine learning models to help cities prioritize infrastructure investments and reduce risk. Design new model products and optimize data science workflows for integration into SaaS product systems.
Lead the development and deployment of state-of-the-art NLP and LLM solutions for financial compliance and surveillance. Mentor junior data scientists and collaborate with cross-functional teams to translate product requirements into technical tasks.
Design, develop, and deploy scalable AI solutions and agentic frameworks to solve complex defense acquisition challenges. Work directly with government clients to translate vague needs into concrete technical requirements and production-grade AI workflows.
Develop and deploy scalable AI/ML systems and agentic platforms to solve complex defense acquisition challenges. Lead end-to-end AI project execution while mentoring team members and collaborating with cross-functional technical teams.
Lead the end-to-end delivery of ML solutions for diverse clients, from scoping and design to deployment. Act as a player-coach by making technical contributions while mentoring junior and senior data scientists.
Research, design, and deploy cutting-edge machine learning models across various industries and use cases. Collaborate with engineers to integrate models into production environments while mentoring team members and communicating complex concepts to stakeholders.
Develop and deploy AI solutions ranging from classical machine learning models to advanced Generative AI and multi-agent systems. Own the end-to-end data science lifecycle, including problem framing, experimentation, production deployment, and monitoring.
Lead a team of data scientists to deliver high-quality research and analytical outputs for pediatric healthcare. Manage staff performance, oversee budgets, and collaborate with principal investigators to identify and execute data science research questions.
Facilitate the adoption of the NEXUS Large Tabular Model by deploying production use cases and proving ROI against legacy baselines. Act as a technical bridge between customers and internal product teams to translate field insights into the product roadmap.
Design and deploy clustering and attribution heuristics to transform raw on-chain blockchain activity into actionable intelligence. Build and maintain end-to-end data pipelines that scale across billions of transactions on multiple blockchain networks.
Design and deploy clustering and attribution heuristics to transform raw on-chain blockchain activity into actionable intelligence. Build and maintain end-to-end data pipelines to process billions of transactions across multiple blockchain networks.
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Lead the design and development of digital twins and AI-driven decision systems to optimize warehouse operations within Stord Labs. Translate experimental results from a micro-fulfillment environment into enterprise-level operational strategies and collaborate with external AI and academic partners.
Translate business needs into actionable data insights to optimize product performance and user experience. Develop and maintain scalable analytics infrastructure while fostering a data-driven decision-making culture across cross-functional teams.
Analyze complex datasets using Databricks to identify trends and patterns for a high-visibility online product. Leverage statistical methods and AI solutions to provide meaningful interpretations and support client decision-making through dashboards.
Set the technical direction for applied ML and agentic AI systems to drive growth, monetization, and retention across the customer lifecycle. Architect scalable AI sub-agents and define modeling, evaluation, and experimentation standards for the organization.
Lead the data science team in designing and deploying advanced machine learning models and predictive algorithms to create business value. Drive the technical roadmap, establish best practices, and support business development initiatives to grow the data science presence in France.
Lead the development of advanced AI/ML and Generative AI systems to solve complex healthcare problems and optimize business growth. Collaborate with stakeholders to translate business requirements into data models and mentor other data scientists on technical architecture.
Design and build end-to-end data pipelines and machine learning models from development to production. Integrate Generative AI tools into the daily workflow to accelerate delivery and maintain high-impact data systems.
Develop next-generation agentic systems for cybersecurity by post-training LLMs and designing complex AI workflows. Collaborate with threat researchers to automate analyst procedures and establish rigorous benchmarking metrics for AI agents.
Own and improve data models for financial reporting and build scalable systems to support executive decision-making and investor communications. Partner with cross-functional teams to ensure the accuracy of key business metrics like ARR and revenue.
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Identify and mitigate financial and operational risks by analyzing transaction patterns and user behavior. Develop automated risk controls and decisioning systems in collaboration with engineering and product teams.
Design and deploy interactive Power BI dashboards to track KPIs such as cost, schedule, and quality for large construction portfolios. Translate complex project data from various PMIS and scheduling platforms into intuitive visuals for executive and field-level decision-making.
Lead the design and implementation of advanced time series models and scalable machine learning solutions for risk management and fraud detection. Collaborate with cross-functional teams to translate complex data challenges into actionable business insights and strategic value streams.
Build, deploy, and maintain production systems for measurement products such as MMM and Incrementality. Translate statistical methodologies into scalable customer-facing capabilities while collaborating across engineering and product teams.
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