Data Scientist (Agentic AI)
About the Role
We're looking for a Data Scientist to build intelligent AI agents and retrieval systems that power our clinical platform. You'll design multi-step reasoning systems, agent architectures, and the underlying knowledge infrastructure that enables AI to autonomously navigate complex clinical workflows.
What You'll Do
Design and build AI agents capable of multi-step clinical reasoning and tool use
Develop multi-agent systems that coordinate specialized AI components for complex analysis
Build intelligent retrieval and RAG systems that ground agent actions in relevant patient data
Create agent orchestration frameworks that handle diverse clinical workflows
Implement document understanding pipelines for structured extraction from clinical documents
Optimize agent performance, reliability, and cost efficiency
Qualifications
Required
Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
Experience building LLM-powered agents or multi-step reasoning systems
Familiarity with agent frameworks and tool-use patterns
Experience with retrieval systems, embeddings, and vector databases
Proficiency in Python and modern ML development tools
Ability to read and implement research papers
Excellent communication skills
Preferred
Master's degree in Computer Science, Machine Learning, or related quantitative field (PhD preferred)
Publications in ML/AI/NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
Experience with multi-agent coordination or orchestration systems
Background in healthcare data or clinical workflows
Experience with reinforcement learning for agent optimization (PPO, etc.)
Familiarity with document processing and information extraction
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead the design and implementation of evaluation pipelines, uncertainty quantification, and QA systems to ensure clinical AI outputs are reliable and trustworthy.
Lead the measurement and experimentation strategy for Scribd's user-generated content ecosystem, turning ambiguous product questions into rigorous, high-impact analytics and AI evaluation.
Lead the design and implementation of evaluation pipelines, uncertainty quantification, and QA systems to ensure clinical AI outputs are reliable and trustworthy.
Work on Notion’s Growth team to design experiments, build metrics and predictive models, and turn quantitative insights into product and revenue impact.
Work on recommendation, multi-modal embeddings, and generative models to improve dating outcomes at Hinge by taking research-grade ML into production for millions of users.
Mirage, a leading AI short-form video company based in NYC, is hiring a Marketing Data Scientist to build measurement foundations, improve acquisition performance, and inform go-to-market strategy.
Lead language-focused research and large-scale analyses at Slingshot AI to develop scientifically rigorous, product-relevant metrics that improve mental health outcomes.
Lead the design and production of generative AI coaching systems at BetterUp, shaping product direction while mentoring engineers and partnering across product, design, and research.
Join Mirage's NYC product team as a Product Data Scientist to lead experimentation, define core metrics, and turn analytics into product decisions that move the needle.
Senior AI Engineer / AI Technical Architect sought by a top-ranked hospital to design and operationalize cloud-based AI/ML solutions using Epic and Azure to improve clinical and operational outcomes.
Lead the development of a production-ready, multi-asset optimization and real-time bidding platform to enable automated ERCOT market decisions at scale for Intersect.
Contribute to production-ready machine learning and analytics at Spring Venture Group as a Junior Data Scientist, applying Python, SQL, and modern AI tools to improve KPIs and automate workflows.
TMEIC is hiring an AI/ML Applications intern to help design, build, and deploy data analytics, visualizations, and machine learning solutions for its Energy and Infrastructure business.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
