841 Data Scientist jobs available for remote work from home. Apply for positions such as Data Scientist, Pricing (Optimization & Deep Learning), Lead Data Scientist, Predictive Modeling & Causal Inference, Lead Data Scientist - GenAI and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Scientist designs and develops algorithms and models to create business insights while leading data science initiatives that drive profitability and efficiency. They are responsible for communicating complex analytical findings to non-technical stakeholders and collaborating with cross-functional teams to support business goals.
Design, build, and validate predictive models and causal inference solutions to address complex business problems for clients. Manage the full model lifecycle from exploratory analysis through to production deployment and monitoring.
The Principal Data Scientist will contribute to high-level data initiatives and collaborate with teams to unleash their potential. They will leverage data-driven insights to support decision-making and product development across the organization.
You will contribute to the design and development of LLM-powered pipelines for agentic trading and automated workflow execution. Additionally, you will build and evaluate prompt engineering strategies and analyze agent performance in live trading scenarios.
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![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 models to support decision-making under uncertainty for an e-commerce platform. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
The Staff Data Scientist will define and own the company-wide measurement framework, causal reasoning strategy, and strategic modeling roadmap. They will also lead scientific governance, establish semantic standards, and mentor the organization to raise the overall scientific maturity.
The Senior Data Scientist will own product and operational analytics, defining core metrics and measuring feature performance. They will translate complex data findings into actionable recommendations for both technical and non-technical leadership.
The Pricing Data Scientist leads the design and deployment of AI-driven pricing models and data pipelines across all merchandise categories. This role collaborates with cross-functional teams to operationalize pricing insights, conduct experiments, and ensure scalable, ethical pricing solutions.
The Senior Data Scientist will design and execute complex data science initiatives, including predictive modeling and generative AI, across the entire project lifecycle. They will collaborate with cross-functional teams to deliver scalable analytical solutions and provide technical guidance to other data scientists.
The Data Scientist II is responsible for collecting data and applying advanced data science techniques to uncover actionable insights and build analytics solutions. They collaborate with cross-functional teams to develop scalable models that guide decision-making and strategic planning within the financial crime risk department.
The Senior Data Scientist will partner with cross-functional teams to drive data-informed product decisions through deep-dive analysis, reporting, and predictive modeling. They will define key product metrics, evaluate feature performance, and build scalable analytics frameworks to influence product strategy.
Design and conduct statistical modeling and analysis to inform business decision-making and evaluate hypotheses. Partner with stakeholders to translate business requirements into actionable analytical solutions and communicate findings clearly.
The Senior Data Scientist will build statistical models and machine learning pipelines to identify suspicious test-taking patterns and protect assessment integrity. They will also communicate complex analytical findings to senior leadership and maintain dashboards to track security metrics.
Lead the design, development, and delivery of end-to-end data science solutions while providing technical guidance to the team. Collaborate with business stakeholders and engineering teams to translate complex business challenges into scalable, data-driven machine learning models.
You will develop models, measurement frameworks, and data products to optimize the Airbnb marketplace and improve guest and host experiences. This involves collaborating with cross-functional teams to launch data-driven products and communicating actionable insights to stakeholders.
The role involves researching and developing machine learning algorithms and models to power intelligent software systems. You will also be responsible for designing, implementing, and maintaining the code that supports production systems at scale.
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The Senior Data Scientist will develop and deploy advanced analytical and machine learning models to support VA healthcare programs and operational decision-making. They will collaborate with cross-functional teams to transform complex data assets into actionable insights while ensuring model performance and data governance.
Lead the development of production-ready AI and machine learning solutions for healthcare and life sciences clients. Advise stakeholders on AI adoption strategies while mentoring data scientists and establishing reusable healthcare ML patterns.
The Data Scientist will lead data investigations, perform analytical modeling, and provide actionable insights to internal and external stakeholders. They are responsible for managing cross-functional teams and streamlining custom work through automation and technical innovation.
The role involves designing and deploying advanced machine learning models and AI solutions to derive insights from large datasets. Responsibilities also include implementing agentic workflows and retrieval-augmented generation patterns to enhance operational efficiency and model performance.
The Data Scientist will serve as the core technical expert for the Trust and Safety team, responsible for protecting the platform and evaluating healthcare claims. They will review billing patterns, identify data anomalies, and provide clear analytics to legal and compliance partners.
You will build and own demand and elasticity modeling capabilities to quantify price effects across various segments. Additionally, you will develop machine learning models for forecasting and optimization to recommend prices under competitive and margin constraints.
The role involves designing, developing, and maintaining advanced data science solutions and machine learning models within DoD platforms. You will also be responsible for integrating automated data pipelines and providing actionable insights to mission stakeholders.
You will lead the design and execution of advanced analyses, experiments, and machine learning models to address complex product challenges. Additionally, you will collaborate with engineering and product teams to integrate data-driven solutions and mentor other data scientists.
The Senior Data Scientist will lead data acquisition efforts, conduct thorough data analysis, and develop data-driven strategies to support business stakeholders. They are also responsible for mentoring team members, ensuring data integrity, and driving operational excellence in model deployment.
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You will build and maintain quality scoring classifiers using NLP and LLM approaches while developing performance metrics to improve member support. Additionally, you will enhance forecasting models for staffing demand and create data layers that link support interactions to member lifecycle outcomes.
The Staff Data Scientist will develop and implement machine learning models to support credit underwriting and complex business problem-solving. They will also collaborate with cross-functional teams to spearhead model deployment and ensure compliance with regulatory and risk management requirements.
You will collaborate with cross-functional teams to translate complex business needs into scalable, production-ready AI solutions. The role involves developing LLM-powered applications, implementing responsible AI controls, and managing model evaluation frameworks.
You will define and implement metrics to measure the security of AI agents while balancing effective controls against operational friction. This role involves building data foundations, strengthening detection capabilities, and partnering with cross-functional teams to shape AI-powered security products.
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