841 Data Scientist jobs available for remote work from home. Apply for positions such as Principal D&T Data Scientist, Senior Data Scientist, Sr. Data Scientist (Remote Eligible) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Principal Data Scientist will lead the design and execution of enterprise-grade AI solutions, focusing on supply chain optimization and agentic AI systems. They will also provide technical leadership, mentor data science talent, and ensure all AI implementations align with security and governance standards.
The Senior Data Scientist will partner with stakeholders to identify high-value AI opportunities and develop scalable machine learning solutions. They will also build reusable frameworks and standardize data science practices across the enterprise.
Design and implement advanced AI solutions, including generative AI, RAG workflows, and analytical models to support business decision-making. Collaborate with stakeholders to translate business objectives into measurable outcomes and advocate for data-driven strategies.
The Principal Scientist will conceive and implement advanced analytics solutions to address high-priority scientific problems using real-world data. They will lead cross-functional collaborations and mentor junior team members to support drug development and health outcomes research.
The role involves developing machine learning algorithms and data models to support cybersecurity solutions and defense strategies. You will also perform data discovery, migration, and mapping tasks while ensuring compliance with RMF and OSCAL standards.
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The Managing Consultant Data Scientist leads the design and execution of high-impact AI/ML projects while partnering with stakeholders to develop data-driven business strategies. They are also responsible for mentoring team members and influencing data governance and best practices across the organization.
You will build and deploy machine learning models to manage credit and fraud risks while shaping credit risk strategy. Additionally, you will analyze portfolio performance and collaborate with engineering to integrate models into production environments.
You will lead complex data science initiatives to drive business impact and design models that optimize audience selection, marketing, and content strategies. Additionally, you will mentor team members and define the technical roadmap for decision science capabilities while ensuring responsible AI development.
The Data Scientist will apply statistical modeling, data mining, and NLP techniques to analyze complex public sector problems. Responsibilities include data pre-processing, feature engineering, model development, validation, and visualization of results.
You will lead the analytical agenda for the Growth team, focusing on churn prediction, share-of-wallet expansion, and pricing strategies. You will also own the growth data layer, building pipelines and evaluation harnesses for LLM-driven insights.
Lead and define the data science strategy for product development while serving as a strategic advisor to senior leadership. Drive the integration of emerging AI technologies and mentor other data scientists to foster a culture of technical excellence.
You will own the measurement framework and experimentation strategy for product pods to drive data-informed decision-making. This involves conducting deep-dive analyses, building scalable datasets, and translating complex insights into actionable product recommendations.
You will design, build, and deploy ML/LLM-powered services to enhance intelligent automation across the Workato platform. This involves collaborating with cross-functional teams to optimize model performance, conduct experiments, and ensure scalable AI system reliability.
Lead large-scale data science projects from ideation to enterprise impact while mentoring team members. Collaborate with stakeholders to deliver data-driven solutions that improve patient outcomes and business performance.
Design, train, and validate machine learning models for core business use cases such as credit risk scoring, growth forecasting, and customer segmentation. Collaborate with cross-functional teams to translate complex business problems into rigorous quantitative solutions and ensure successful model deployment.
The Data Scientist will design, develop, and implement advanced machine learning and predictive analytics solutions to optimize IT Call Center performance. They will collaborate with cross-functional teams to translate complex data into actionable insights and maintain robust MLOps pipelines in a cloud-native environment.
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The Senior Data Scientist will develop and implement machine learning algorithms and statistical models to solve complex data problems. They will also lead strategic initiatives, mentor team members, and translate prototypes into scalable data products.
You will own and advance core AI models end-to-end, collaborating with product and engineering teams to ship measurable improvements. Your work involves leveraging modern deep learning and traditional data science techniques to solve complex insurance risk challenges.
The Principal Data Scientist will lead complex modeling initiatives and set the organization's modeling strategy. They will leverage deep learning and large language models to create hybrid models that drive real-world impact and business value.
The Senior Data Scientist develops and applies advanced analytical models to optimize store performance, labor effectiveness, and operational decision-making. They partner with cross-functional teams to translate business problems into actionable insights and establish rigorous measurement standards for operational initiatives.
The Senior Data Scientist will independently define analytical approaches and design research methodologies to provide strategic recommendations to stakeholders. They will also develop and productionize machine learning models while managing ETL/ELT pipelines and consulting directly with government clients.
The Principal II Data Scientist will produce innovative solutions and thought leadership through exploratory data analysis of complex healthcare datasets. They will collaborate with subject matter experts and developers to translate prototypes into clinically relevant products and features.
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The Senior Data Scientist will partner with marketing and product teams to optimize customer acquisition, conversion, and retention through data-driven insights. They will build statistical models, design experiments, and translate complex business questions into actionable machine learning solutions.
The Data Scientist will develop and automate Python scripts for data collection and preprocessing while building machine learning models and predictive analytics. They are also responsible for maintaining ETL pipelines and creating data visualizations using Qlik and Tableau to support workforce planning.
You will own end-to-end data science and BI projects, from problem definition and experimentation to model deployment and monitoring. You will also build predictive models and machine learning solutions to support business decision-making and operational efficiency.
You will own the full lifecycle of applied machine learning, from exploratory analysis and modeling to production deployment and post-launch measurement. You will build and scale recommendation systems that drive core business KPIs and partner with engineering teams to ensure technical success.
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