840 Data Scientist jobs available for remote work from home. Apply for positions such as Associate Data Scientist, Senior Data Scientist, Staff Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
You will be embedded in a core business unit to define key metrics, build reports, and run analyses to drive decision-making. You will also collaborate with cross-functional teams to translate data insights into actionable business outcomes.
You will be embedded within a core business unit to define metrics, run analyses, and design experiments to drive decision-making. You will own the analytical function end-to-end, translating complex data into actionable recommendations for product, growth, and operations teams.
You will be embedded in a core business unit to own the analytical function, defining key metrics and driving data-informed decisions. You will translate complex business problems into actionable insights and lead initiatives across product, growth, and operations.
You will lead the development of advanced analytics and data science solutions to shape workforce strategy using statistical modeling and machine learning. You will also partner with senior leadership to translate complex people data into actionable insights and executive decision-making.
You will manage media measurement and optimization projects while collaborating with cross-functional teams to drive business value for clients. This involves designing analytical approaches, interpreting complex datasets, and presenting actionable insights to stakeholders.
We watch for new "Data Scientist" jobs and email you the matches. Free. Unsubscribe in one click.
The role involves driving the end-to-end development of battery state estimation algorithms from R&D to production deployment. You will collaborate with cross-functional teams to integrate AI/ML models into scalable, cloud-based data products for energy storage systems.
The Data Scientist II leverages machine learning and Generative AI to build scalable, data-driven solutions that improve business performance. They are responsible for developing predictive models, creating Power BI dashboards, and mentoring junior team members.
Design, build, and deploy LLM-based applications to generate insights from unstructured data and improve business strategy. Collaborate with cross-functional teams to translate complex business problems into production-ready AI solutions.
Design and maintain the formal ontological architecture to enable cross-organizational data alignment across the healthcare supply chain. Direct and evaluate LLM-assisted ontology discovery pipelines while ensuring formal correctness and logical consistency.
The Staff Data Scientist will own fraud, risk, and payments analytics, developing models to detect and mitigate abuse while balancing customer experience. They will collaborate across engineering, operations, and product teams to build high-volume risk evaluation systems and optimize decision-making processes.
You will lead the design of broker-level success metrics and causal inference frameworks to measure the impact of products and go-to-market initiatives. Additionally, you will build scalable analytical pipelines and provide data-driven recommendations to senior leadership to inform strategic decision-making.
The role involves managing biomarker data pipelines, maintaining R packages, and ensuring data quality through rigorous validation and version control. Additionally, the scientist will support project tracking and develop AI-assisted coding standards to enhance team workflows.
You will architect goal-setting and decomposition mechanisms for autonomous agents operating in dynamic environments. Additionally, you will develop evaluation frameworks to ensure agent alignment with human intent and operational reliability.
Design and build scalable NLP enrichment pipelines to extract entities, claims, and summaries from scientific full-text. Own the end-to-end model lifecycle, including evaluation, production deployment, and collaboration with engineering teams to ensure reliability.
You will architect and build a comprehensive data-quality and observability platform to ensure the accuracy and reliability of a massive pricing data lake. This involves defining health metrics, implementing pipeline instrumentation, and performing root-cause analysis on data anomalies.
The Sales Operations Data Scientist will define and maintain KPIs to measure product health and marketplace performance while analyzing customer behavior to identify business opportunities. They will partner with cross-functional teams to translate complex data into actionable recommendations and ensure data integrity across all reporting pipelines.
You will leverage consumer data to prioritize product and growth investments while identifying opportunities to improve user acquisition, engagement, and retention. Additionally, you will design experiments and build data products to help key decision-makers drive business outcomes.
We watch for new "Data Scientist" jobs and email you the matches. Free. Unsubscribe in one click.
Design, train, and deploy exploit prediction models using ground-truth telemetry to identify and prioritize cybersecurity vulnerabilities. Collaborate with engineering teams to move models into production and communicate complex model insights to security stakeholders.
The Senior Data Scientist will design, develop, and deploy enterprise-grade machine learning solutions to support strategic business initiatives. They will manage the complete data science lifecycle, including model development, deployment, and performance monitoring while collaborating with cross-functional teams.
Design, develop, and deploy scalable machine learning models and AI products to solve complex business problems. Collaborate with cross-functional stakeholders to translate business needs into data-driven insights and technical architecture.
Lead the design, development, and evaluation of advanced machine-learning models for large-scale structured and transactional data. Partner with engineering, product, and domain experts to translate technical research into scalable, customer-facing capabilities.
![Software Mind is hiring for remote [8BE] Data Scientist (AI + ML)](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
Design, validate, and productionize probabilistic AI and statistical machine learning models for an e-commerce platform. Collaborate with backend engineering to integrate these models into a distributed microservices architecture.
You will own the data infrastructure, including pipelines and warehousing, while analyzing product usage to drive product decisions. You will also build and deploy machine learning models, including LLM-based systems, to solve complex business problems.
The role involves building and scaling predictive forecasting models to optimize pricing and merchandising decisions within a retail environment. You will collaborate with cross-functional teams to translate business requirements into technical solutions while leveraging generative AI and high-performance computing.
The Data Scientist II will design, develop, and maintain data pipelines, models, and visualizations to support research and decision-making. They will collaborate with stakeholders to transform complex data into actionable insights using SQL, Python, and GIS tools.
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
We watch for new "Data Scientist" jobs and email you the matches. Free. Unsubscribe in one click.
The associate data scientist will collaborate with cross-functional teams to identify business opportunities and develop solutions using statistical models and machine learning. They are responsible for extracting and cleaning large datasets, maintaining reporting procedures, and presenting findings to stakeholders.
The Land Data Scientist will collaborate with internal departments to develop and maintain analytical solutions, data models, and AI pipelines. They are responsible for translating business opportunities into practical AI designs and communicating data-driven insights to stakeholders.
The Senior Health Data Scientist will lead complex analytical modeling and data extraction projects to support internal and external healthcare clients. They will collaborate with multidisciplinary teams to derive actionable insights from large administrative claims, EMR, and registry datasets.
Design and implement advanced optimization models to improve supply chain performance, cost efficiency, and sustainability. Develop algorithms and analytical solutions to solve complex problems in procurement, planning, and logistics.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
