841 Data Scientist jobs available for remote work from home. Apply for positions such as Sr Data Scientist, Senior Data Scientist, Applied ML, Data Scientist, Senior and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Data Scientist will lead the end-to-end AI/ML model development lifecycle, from design to deployment, across various business units. They will also provide technical leadership, mentor junior colleagues, and collaborate with cross-functional teams to deliver innovative educational solutions.
You will design, build, and deploy machine learning models for critical cybersecurity use cases such as threat detection, fraud intelligence, and risk scoring. You will own the full model lifecycle, including data preparation, feature engineering, and production monitoring in cloud-native environments.
Lead the design, configuration, and optimization of the VHA AI Education Hub platform while developing intelligent AI learning assistants and sandbox environments. Collaborate with cross-functional teams to ensure AI models are safe, explainable, and compliant with federal healthcare data standards.
You will define the long-term scientific strategy for ads measurement, signal quality, and privacy-aware attribution at Reddit. This role involves leading cross-functional initiatives to build rigorous evaluation frameworks and mentoring senior data scientists to advance technical standards.
You will design and implement probabilistic models for identity resolution and advance lift methodologies to improve advertising performance. Additionally, you will lead cross-functional initiatives to define ground truth frameworks and maximize signal quality for predictive bidding models.
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You will proactively identify opportunities for data science to drive business value across marketing, product, finance, and operations. You will lead high-stakes investigations from end to end and translate complex analysis into actionable recommendations for leadership.
The Data Scientist III provides technical leadership in developing and maintaining enterprise-level Anti-Money Laundering and Counter-Terrorism Financing models. They collaborate with business owners to translate complex data problems into scalable AI solutions and visualize insights for stakeholders.
The Junior Data Scientist will perform foundational data preparation, develop scripts for automation, and execute routine analytical models to support logistics decision-making. They will also assist in creating data visualizations and reports while collaborating with senior analysts on mission-focused projects.
You will architect advanced machine learning solutions and lead complex initiatives across the global ML ecosystem. Additionally, you will mentor junior engineers and establish high engineering standards for scalable, production-ready systems.
You will lead the delivery of advanced AI solutions while driving the adoption of modern, scalable cloud-native architectures. Additionally, you will manage and coach a multi-disciplinary team to foster innovation and maintain high engineering standards.
The role involves developing and automating robust machine learning models and data science pipelines to solve complex business problems. You will also translate analytical findings into actionable insights for stakeholders to drive key business metrics.
The Lead Data Scientist will develop and maintain GLM-based pricing models while managing a portfolio of research and model enhancement initiatives. They will also serve as a subject matter expert, translating complex analytical findings into actionable insights for cross-functional stakeholders.
The role involves leading cross-functional teams to implement revenue-driving initiatives and optimizing the revenue waterfall through data-driven insights. You will also be responsible for refining data infrastructure and embedding AI into the analytics workflow to improve team efficiency.
Build and refine NLP/ML models using both classical and modern LLM-based techniques to extract insights from student and educator text. Partner with product and engineering teams to deploy these models into user-facing features that support educators and students.
The role involves building and executing real-world evidence analyses using large-scale healthcare data to answer complex biopharma questions. You will also collaborate with AI and product teams to improve clinical research agents while serving as an embedded data scientist for partner institutions.
The core responsibilities for this Senior Data Scientist role are not provided in the text. Please refer to the full job description for specific duties.
The role involves investigating complex problems related to fraud and identity to develop data-driven solutions and models. You will collaborate with cross-functional teams to plan experiments, validate hypotheses, and communicate technical findings to stakeholders.
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The Senior Data Scientist will apply evaluation-driven development to build and validate modeling solutions while collaborating with cross-functional teams to solve complex business challenges. They are responsible for owning delivery within agile release cycles and implementing MLOps practices on AWS to ensure measurable business outcomes.
You will own the geospatial data science function by designing Python-based models and architecting robust data pipelines to transform raw environmental data into actionable intelligence. Additionally, you will lead technical strategy, mentor team members, and translate complex scientific findings into business-ready products for enterprise stakeholders.
The Expert Data Scientist will define and champion the organization's evaluation-driven development framework and modeling strategy. They are responsible for overseeing multiple concurrent workstreams, ensuring delivery governance, and mentoring senior and mid-level data scientists.
The Expert Data Scientist will define and champion the organization's evaluation-driven development framework and modeling strategy across the AI/ML portfolio. They are responsible for overseeing delivery leadership, managing MLOps platforms on AWS, and mentoring senior data scientists to ensure measurable business impact.
The Lead Data Scientist will build and manage data infrastructure to connect usage, product, GTM, and financial data while acting as a strategic partner within the growth pod. They will define key performance metrics, design experiments, and develop predictive models to drive product growth and user retention.
The Senior Data Scientist will apply evaluation-driven development to build and validate modeling solutions while collaborating with cross-functional teams to solve complex business challenges. They are responsible for delivering AI/ML platform components on AWS and ensuring measurable business outcomes through agile release cycles.
You will lead the development of custom healthcare foundation models and transformer-based architectures for patient risk prediction. This role involves owning the full machine learning lifecycle, from research prototyping to production deployment, while collaborating with clinicians and engineers.
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You will design and build the data and context layer for a procurement AI agent platform, including knowledge graphs, semantic layers, and retrieval pipelines. You are responsible for ensuring production-grade infrastructure, including data ingestion, matching rules, and quality feedback loops.
The Senior Data Scientist will design, develop, and deploy advanced demand forecasting and price optimization models. They will manage data pipelines, MLOps processes, and collaborate with cross-functional teams to ensure scalable analytical solutions.
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