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AI Data Scientist
RoApplied AI Scientist helping to evaluate AI systems and improve AI-powered features in healthcare. Working within a performance-driven team focused on building healthcare technology.
Posted 6/27/2026full-timeNew York City • New York • 🇺🇸 United StatesJunior💰 $149,600 - $184,000 per yearWebsite
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Join Tech @ Ro to build the future of healthcare, from the ground up!
- Solve complex, high-concurrency problems across a full-stack platform.
- Build and ship quickly with tight feedback loops and real-world impact.
- Own systems end-to-end, from architecture to production performance.
- Work alongside experienced operators, technical leaders, and clinicians.
- Help define how modern healthcare should be delivered.
- Design evaluations, analyze production behavior, run experiments, and partner closely with engineers to improve the quality of AI-powered features.
Requirements
What you’ll need- 1–4 years in data science, analytics, applied ML, or a closely adjacent role.
- Strong Python and SQL skills.
- Hands-on experience building or evaluating LLM-powered applications through work, research, school, hackathons, or side projects.
- You’re curious about how AI systems work beyond the model itself, including retrieval, prompting, evaluation, and production behavior.
- You’re comfortable communicating analytical findings clearly to engineers, product managers, and operational stakeholders.
- You are excited about learning rapidly in a field where best practices continue to evolve.
- Bonus: Experience with evaluation tooling, A/B testing frameworks, production model monitoring, healthcare, or other operations-heavy environments.
Benefits
Comp & perks- Competitive equity and benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata scienceanalyticsapplied MLLLM-powered applicationsA/B testing frameworksproduction model monitoringevaluation tooling
Soft Skills
communicationcuriosityanalytical thinkingcollaborationproblem-solvingadaptability