Browse and apply for latest Remote Data Science Jobs and work remotely for Lead, Senior and Junior roles full-time, part-time, contract or freelance. Work from home or any place around the world.
Trusted by 300,000+ remote workers worldwide.
Develop and implement data science and machine learning models to enhance educational platforms and personalized learning experiences. Create data visualizations and optimize ETL processes to provide actionable insights for educational stakeholders.
Develop, validate, and maintain programming solutions for clinical trial data analysis and reporting. Collaborate with cross-functional teams to oversee the generation of statistical datasets, tables, and figures for regulatory submissions.
The employee will assist Data Science Engineers with data preparation, analysis, reporting, and the development of machine learning solutions. They will also help identify business insights and support operational improvement efforts across assigned areas.
The Data Science Co-op will develop and fine-tune AI models for document understanding, including OCR and handwriting recognition, to extract insights from historical records. They will also collaborate with engineering teams to deploy these models in cloud environments to support product development and customer success.
The Data Science Manager will lead the end-to-end Marketing Mix Modeling process, including model development, validation, and interpretation to drive marketing effectiveness. They will collaborate with cross-functional teams and external vendors to translate complex data insights into actionable investment strategies and business outcomes.
We watch for new "data science" jobs and email you the matches. Free. Unsubscribe in one click.
The Business Analyst will manage Jira workflows and documentation for data science and analytics teams to improve operational efficiency. They will also own the prioritization process for data science models, ensuring clear communication between technical teams and stakeholders.
You will lead the strategy and technical direction for credit acquisition modeling, ensuring decisions are accurate, fair, and compliant. You will also mentor a team of data scientists and align modeling efforts with broader company risk appetite and growth goals.
Design, build, and operate LLM-powered applications and agentic workflows to support publishing operations. Manage end-to-end service lifecycles including architecture, deployment, and monitoring within AWS and Databricks environments.
Design, build, and operate LLM-powered applications and agentic workflows to improve publishing operations. Manage end-to-end service architecture, deployment, and monitoring within AWS and Databricks environments.
Partner with the Data Science team to develop software prototypes that demonstrate the feasibility and potential of new data models. Build custom user interfaces and APIs to help leadership make strategic business decisions based on technical explorations.
Lead a team of data scientists in the design and deployment of advanced machine learning and AI solutions to address complex business problems. Partner with business leaders to drive data strategy and deliver actionable insights that support strategic decision-making.
Design and develop AI-driven productivity solutions using tools like Azure OpenAI and Microsoft Power Platform to improve operational efficiency. Manage a backlog of automation workflows while ensuring all solutions adhere to data privacy, security, and responsible AI standards.
The Senior Director owns the technical strategy, architecture, and delivery of the data platform and Insights product line. They are responsible for leading, mentoring, and growing a team of managers and individual contributors while aligning technical roadmaps with business goals.
You will oversee clinical data management activities across the study lifecycle, ensuring all deliverables meet quality, compliance, and timeline expectations. This includes managing external vendors, performing data quality reviews, and collaborating with cross-functional teams to ensure adherence to regulatory standards.
The Director of Analytics and Data Science leads the analytics platform and team while driving internal research to advance the organization's data capabilities. They also collaborate directly with healthcare partners to develop and deliver actionable data products that support the statewide health information exchange.
The Director of Data Science & AI will lead a team to develop scalable data solutions, integrate AI into business workflows, and bridge the gap between technical possibilities and practical business outcomes. They will oversee the data science roadmap, mentor staff, and ensure the implementation of robust, production-grade AI models.
Build and lead the data science function from the ground up, focusing on automated decisioning and agentic systems. You will personally deliver end-to-end systems, from analysis and model development to production deployment and ongoing monitoring.
We watch for new "data science" jobs and email you the matches. Free. Unsubscribe in one click.
Design, build, and deploy advanced AI and Generative AI solutions across healthcare technology platforms. Collaborate with cross-functional teams to integrate models while ensuring performance optimization, scalability, and regulatory compliance.
The intern will perform data analysis on environmental and engineering datasets while developing processes to automate data transformation and visualization. They will also collaborate with teams to deploy artificial intelligence and machine learning initiatives, including agentic systems.
The intern will assist in developing statistical, predictive, and machine learning models to improve patient outcomes and provider performance. They will also contribute to generative AI initiatives and collaborate with cross-functional teams to translate analytical findings into actionable insights.
The role involves leading the data science and applied AI roadmap for operations and finance, including the development of agentic systems and decision-support tools. You will also manage and mentor a team while partnering with leadership to translate complex business problems into actionable AI-driven solutions.
The intern will assist in deploying machine learning and deep learning models to solve complex mining challenges using large data sets. They will also support the implementation of analytical assets and utilize cloud technologies to deliver insights for leadership.
Lead and mentor a team of data scientists to develop cutting-edge threat detection and agentic AI systems for cybersecurity. Drive the technical strategy for machine learning initiatives while collaborating across functions to deliver innovative security solutions.
Design and develop enterprise-grade RAG applications using LLMs, vector databases, and agentic AI architectures. Optimize these applications for accuracy, latency, and cost while integrating them with enterprise systems and knowledge sources.
The Data Science Senior Advisor leads complex analytics initiatives focused on pharmacy, clinical outcomes, and total cost of care strategies. This role involves designing program evaluations, analyzing healthcare claims data, and partnering with stakeholders to generate actionable insights that inform business strategy.
You will provide strategic leadership and scientific rigor across clinical development programs while managing a high-performing global team. The role involves driving technical innovation in AI, automation, and data science to deliver regulatory-compliant analytical outputs.
We watch for new "data science" jobs and email you the matches. Free. Unsubscribe in one click.
Adjunct faculty are responsible for preparing and facilitating course lectures in online or in-person formats. They must also maintain weekly office hours, provide timely feedback, and promote critical thinking among students.
The Senior Advisor will lead complex analytics initiatives to support pharmacy and clinical outcomes research while partnering with stakeholders to generate actionable insights. They are responsible for designing program evaluations, analyzing large healthcare claims datasets, and mentoring junior team members.
Design, develop, and deploy advanced AI and Generative AI solutions for healthcare platforms while ensuring system integration and performance optimization. Collaborate with cross-functional teams to automate workflows and maintain compliance with healthcare industry regulations.
You will work within the Data Science Core team to develop and deploy machine learning and AI models from initial business questions to production. The role involves internal consulting, maintaining data domains, and researching advanced AI applications for the hospitality sector.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs
