HappyRobot
Data Scientist
San Francisco · Mid
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About the role
- You'll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance.
- Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows.
- You'll turn complex data into clear insights that influence our product and ML roadmaps.
Responsibilities
- Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
- Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements.
- Build statistical models, simulations, and analytical frameworks to support product and ML decisions.
- Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.
- Build dashboards and self-serve tools that help teams understand product and agent performance.
- HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces.
Requirements
- 4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.
- Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis.
- Advanced proficiency in SQL and Python.
- Experience defining and operationalizing product and feature metrics.
- Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
- Strong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact.
Nice to have
- Experience working with large language models, AI agents, generative AI, or other probabilistic ML products.
- Experience measuring the production impact of model, prompt, retrieval, or orchestration changes.
- Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.
- Experience analyzing conversational, NLP, speech, or other unstructured data.
- Experience with enterprise or B2B products.
- Experience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research.
- Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.
- Prior experience in a fast-growing startup or other highly ambiguous environment.
Compensation
- Competitive salary + equity in a high-growth startup.
Company info
- We are "majos" Be friendly & have fun with your coworkers.
This listing is sourced directly from HappyRobot's careers page and normalized into a canonical job model.