841 Data Scientist jobs available for remote work from home. Apply for positions such as Staff AI Data Scientist , Marketing Data Scientist, Staff Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and deploy machine learning models and AI-driven solutions to solve complex business problems. Collaborate with cross-functional teams to translate ambiguous problems into production-ready intelligent systems and mentor other data scientists.
Own demand and revenue intelligence by building predictive models for forecasting and lead scoring. Collaborate with Sales and Marketing to translate complex data into actionable narratives that drive executive strategic decisions.
Architect and lead the development of scalable machine learning systems for marketplace optimization and bidding strategies. Provide technical leadership and mentorship to senior data scientists while partnering with product and engineering leaders on data-driven strategy.
Lead technical onboarding for clients and translate complex scientific hypotheses into actionable workflows on the Lens platform. Collaborate with product and engineering teams to optimize the platform using AI-assisted tools and LLMs.
Lead the design and implementation of pricing structures and risk monitoring for product and shipping protection offerings. Build the data foundation for Risk Analytics and provide strategic recommendations to senior leadership to maintain healthy loss ratios.
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The Staff Data Scientist conducts advanced research and data analysis to uncover patterns and product opportunities. They design machine learning models and prototypes to translate analytical findings into actionable business and product strategies.
The role involves analyzing large datasets to derive actionable insights and developing predictive models and machine learning algorithms. The candidate will collaborate with cross-functional teams and communicate findings to stakeholders to drive strategic initiatives.
Build and maintain scalable data architectures and pipelines to support oncology care delivery and provider incentive programs. Develop data models and BI dashboards to translate business requirements into actionable insights for internal and external stakeholders.
The role involves identifying, curating, and preparing complex chemical datasets to integrate into machine learning algorithms. You will develop featurizations and apply traditional cheminformatics techniques to accelerate drug discovery.
Design and maintain scalable data pipelines using PySpark and develop optimized Machine Learning models for predictive analytics. Integrate these models into production environments using MLOps best practices and AWS services.
Lead the development and deployment of machine learning models to power personalized digital experiences and recommendation systems. Collaborate with cross-functional partners to translate business requirements into technical solutions and mentor junior data scientists.
Develop analytical and machine learning models to create measurable business value. Collaborate with diverse teams to craft impactful data-driven solutions across the full analytical lifecycle.
Design and execute advanced analytical and machine learning solutions while linking technical decisions to business objectives. Mentor mid and junior engineers to ensure technical excellence and drive high-quality decision-making across cross-functional groups.
Design and build curated data structures, including vector stores, feature stores, and graph databases, to support AI and ML applications. Lead data discovery efforts to identify trends in lending and account-opening data to inform business and AI use cases.
Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Own the data science strategy for RC Capital by building underwriting and fraud detection systems from the ground up. Partner with Product and Engineering to integrate risk signals into customer flows and internal decisioning engines.
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The Senior Data Scientist designs and builds advanced analytics engines using machine learning, data mining, and information retrieval techniques. They collaborate with business partners to define technical problems and integrate analytical models into scalable data products.
Lead the design and development of advanced statistical and machine learning models to improve claims outcomes and risk management. Collaborate with cross-functional teams to productionize models and provide technical guidance to data scientists and analysts.
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and LLM integration. Collaborate with product and engineering teams to implement these AI solutions into the Cint Exchange platform.
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and text generation. Collaborate with engineering and product teams to integrate these AI solutions into the Cint Exchange platform.
The Tech Lead Data Scientist will define and oversee the technical methodology for evaluating, monitoring, and optimizing AI systems in production. They will provide hands-on guidance to program teams and mentor a team of data analysts to ensure rigorous validation and performance measurement.
The Senior Data Scientist leads the end-to-end lifecycle of AI and machine learning initiatives to improve healthcare outcomes and operational efficiency. They also mentor junior staff and translate complex technical findings into actionable insights for stakeholders.
The Lead Data Scientist will independently apply advanced AI and data science techniques to solve complex business problems within the Higher Education unit. They are responsible for developing scalable solutions, mentoring team members, and communicating technical insights to diverse stakeholders.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will partner with product and engineering leadership to translate business problems into actionable recommendations while mentoring other team members.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will act as a strategic partner to product and engineering leadership while mentoring other data scientists to elevate team standards.
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You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
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