Senior Data Scientist, Applied AI
AI summary of the role
Senior applied AI builder on Rippling's Go-to-Market Analytics team, owning the evolution of internal AI agents and applications used daily by Sales, RevOps, and Customer Success.
What you’ll do
- Build, launch, and improve AI agents, workflows, and internal applications for GTM teams.
- Design agent workflows involving retrieval, tool use, structured context, multi-step reasoning, and human-in-the-loop review.
- Own full-stack feature development from Python/FastAPI backends to Next.js/TypeScript frontends.
- Create SQL/Python pipelines to assemble trusted business context from GTM, product, account, and activity data.
What you’ll bring
- 3–6 years across data science, applied ML, software engineering, data engineering, or applied AI, including 2+ years hands-on data science/applied ML and 1–2 years building production LLM apps.
- Strong Python skills with experience owning backend services, APIs, or production AI/data systems.
- Hands-on experience building production LLM systems (prompt design, RAG, tool calling, context management, agent orchestration, evaluation).
- Strong SQL skills for data analysis, debugging, and building reliable data/context pipelines.
Technologies
Python · FastAPI · Next.js · TypeScript · SQL · LLM · RAG · LangSmith · Braintrust · Langfuse · Arize
About Rippling
Cloud platform that lets businesses manage and automate payroll, benefits, devices, and apps from a single employee system of record, monetized via per-employee SaaS subscriptions.
Series G · 1000–5000 people
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