Rippling

Senior Data Scientist, Applied AI

San Francisco, CA · Senior

Sponsorship not specifiedDetected 7 days ago

TypeScriptPythonNext.jsFastAPIBackend DevelopmentFull-Stack DevelopmentSQLMachine LearningData AnalysisData EngineeringData ScienceLLMsRAGAgentic AILLMOpsAI OrchestrationA/B TestingForecastingCustomer SuccessCommunication

About the role

This is a hands-on, high-ownership role on a small team that blends applied AI product development with core data science, ML, and analytics work.
You will work across the full applied AI stack: backend systems, data and context pipelines, agent workflows, internal product experiences, and the evaluation and observability systems that make AI quality measurable.

Responsibilities

Build, launch, and improve AI agents, workflows, and internal applications used by Rippling's GTM teams.
Design new agent workflows involving retrieval, tool use, structured context, multi-step reasoning, and human-in-the-loop review.
Own full-stack feature development for internal AI products, from Python/FastAPI backend services and APIs to Next.js/TypeScript frontend experiences.
Create SQL/Python pipelines that assemble trusted business context from GTM, product, account, and activity data.
Build and improve the model and agent evaluation infrastructure used to measure quality, catch regressions, and guide iteration, including offline evals, golden datasets, regression tests, human review workflows, and LLM-as-judge evaluation patterns.
Partner with RevOps, Sales, Customer Success, and Data Science leaders to turn analytical insights and operational pain points into shipped AI product features.
Experience in a data science or applied ML role, including building models, designing analyses or experiments, working with business/product data, and translating findings into product or operational impact.
Hands-on experience building production LLM systems, including prompt design, retrieval-augmented generation, tool/function calling, context management, agent orchestration, evaluation, and runtime quality controls.
Strong SQL skills for data analysis, debugging, and building reliable data/context pipelines.
About the role Rippling's Go-to-Market Analytics team owns a growing suite of internal AI agents and applications used daily by Sales, RevOps, and Customer Success.

Nice to have

Experience with AI evaluation or observability tools such as LangSmith, Braintrust, Langfuse, Arize, or similar.
Background in experimentation, product analytics, or GTM analytics.
Experience with Next.js, TypeScript, or other modern frontend frameworks.
Experience with FastAPI or an equivalent backend framework is a plus.

Benefits

It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers.
With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds.

Company info

To request a reasonable accommodation, please email accommodations@rippling.com Rippling highly values having employees working in-office to foster a collaborative work environment and company culture.

Equal opportunity

Rippling is an equal opportunity employer.

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This listing is sourced directly from Rippling's careers page and normalized into a canonical job model.