841 Data Scientist jobs available for remote work from home. Apply for positions such as Staff Data Scientist, Ads, Junior Data Scientist, Staff Data Scientist, Full Stack and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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 role involves participating in real-world AI/ML projects, gaining hands-on exposure to major cloud platforms like Azure, AWS, and GCP, and collaborating closely with team members to deliver high-quality results.
The role involves building core models for fraud detection and advancing financial risk products through the full model development lifecycle, from data acquisition to monitoring. Responsibilities also include researching new fraud types, developing new products, and writing production-ready code for real-time decision-making.
The Senior Associate will analyze operational and transactional data to find improvements in the revenue cycle management process, collaborating with teams to develop solutions using LLMs/Gen AI/AI/ML models. Responsibilities include building solutions, conducting thorough analysis of healthcare revenue cycle processes, and developing data-driven recommendations for process improvement.
This role involves owning the development and testing of deep learning architectures, such as transformers and neural networks, to define how the company understands risk. The individual will also partner with Engineering and Product teams to ensure models are effective and scalable in the real world.
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The role involves designing, developing, and deploying cutting-edge AI and machine learning models utilizing advanced frameworks and cloud services like AWS, GCP, or Azure. Key tasks include implementing model monitoring, staying current with emerging AI research, and integrating these solutions into business applications.
The role involves designing, developing, and programming methods and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights for client services and product enhancement. This includes developing software programs and algorithms to cleanse, integrate, and evaluate large datasets from multiple sources, and communicating findings to management.
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 role involves translating complex business problems into clear, actionable analytical solutions across various industries like Oil & Gas, Retail, and Banking. The scientist will analyze data, generate actionable insights, and communicate findings effectively to non-technical audiences.
The role involves model development, maintaining training pipelines, and building the analytics backend, working closely with an on-site Data Scientist for context and feedback. Key tasks include improving simulation engines, running training pipelines, implementing retraining triggers, and developing evaluation frameworks.
The role involves designing, building, and maintaining scalable data solutions using Python and SQL, while developing and integrating machine learning and computer vision models within Azure services. Responsibilities also include connecting to external systems via APIs and ensuring the production readiness and performance of data workflows.
The role involves building and maintaining machine learning models to predict the infrastructure cost impact of A/B experiments, translating observed signals into annualized cost projections. Additionally, the scientist will drive the adoption of infrastructure metrics within the experimentation community through analysis, consultation, documentation, and training.
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 Senior Data Scientist will collaborate with business teams to devise Data Science solutions for complex challenges, focusing on advanced analytics for manufacturing, including machine data and battery manufacturing. Responsibilities include developing, maintaining, and improving Machine Learning, Deep Learning, and Computer Vision models, and building deployment pipelines.
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.
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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.
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.
This role involves leading data management and modernization initiatives, serving as the primary point of contact for geospatial data governance, cataloging, and publishing practices for a DHS program. Responsibilities include developing and enforcing QA/QC protocols, managing data delivery, overseeing access control, and maintaining the HIFLD Data Catalog.
The Geospatial Scientist will lead the development of methodologies for geospatial data collection and manage data intake to ensure quality control. This role involves maintaining communication with data providers and overseeing the procurement of high-quality geospatial data.
The role involves partnering with pharmaceutical and biotech customers to define scientific and data use cases, translating research goals into analytical frameworks. Additionally, it includes preparing technical demos and collaborating with internal teams to inform product improvements.
As a Staff Data Scientist, you will guide product strategy by identifying opportunities and conducting analyses. You will also drive experimentation and build self-serve tools for product and engineering partners.
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.
The Data Scientist will perform advanced data analysis and develop predictive models for industrial applications. They will collaborate with cross-functional teams and support on-site installation and commissioning activities as required.
In this role, you'll develop new capabilities for the core product's engine, focusing on complex shopping experiences. You'll also design and develop data-based features aimed at optimizing revenue and participate in the design of AI solutions for e-commerce.
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You will collect, model, and analyze data to drive meaningful changes to our product and user experiences. You will also define the data culture within the company and work on high-profile feature launches.
The data analyst will compile actionable insights from data and assist managers in building data-driven processes. Responsibilities include ensuring smooth data flow, working with complex data sets, and collaborating with program managers to derive high-impact insights.
Architect, develop, and deploy machine learning systems to production, focusing on chatbots and search. Analyze various data types to improve models and create new ones, while applying the scientific method to develop LLM-powered applications.
The Forward Deployed Data Scientist will partner with AI Decisioning customers and internal teams to ensure effective AI-driven marketing campaigns. Responsibilities include diagnosing model behavior, tuning ML levers, and analyzing customer data to provide actionable insights.
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