Founding Data Scientist: AI Workflows Architect

Happyrobot Inc.; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

Job summary

HappyRobot is seeking a data-driven analytics professional to embed data into how we build and improve HappyRobot’s products. You’ll work with Product, Engineering, and ML teams to measure how changes to models, agents, and features affect real-world performance and guide roadmaps.

You’ll design experiments, analyze millions of conversations, and turn insights into actionable recommendations. You’ll build dashboards and communicate findings to both technical and non-technical stakeholders.

Qualifications

• 4+ years of experience in Data Science, Product Analytics, or another quantitative product role.
• Strong experience with experimental design, A/B testing, statistics, causal inference.
• Advanced proficiency in SQL and Python.
• Experience defining and operationalizing product and feature metrics.
• Ability to translate ambiguous product questions into rigorous analyses.
• Strong product instincts and the ability to distinguish statistical significance from meaningful impact.
• Experience partnering with Product, Engineering, or Machine Learning teams.
• Strong written and verbal communication skills.
• High attention to detail and commitment to analytical accuracy.
• Founder mindset: ownership, independence, curiosity, and willingness to go deep.

Responsibilities

• Define and track product, feature, and agent-level metrics.
• Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
• Measure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.
• Connect offline model evaluations with production performance and real-world customer impact.
• Conduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance.
• 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.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.

Skills

4+ years experience

A/B testing

SQL

Python

Metrics definitions

Product analytics

Cross-functional collaboration

Communication

Attention to detail

Founder mindset

Job description

HappyRobot is seeking a data-driven analytics professional to embed data into how we build and improve HappyRobot’s products. You’ll work with Product, Engineering, and ML teams to measure how changes to models, agents, and features affect real-world performance and guide roadmaps.

You’ll design experiments, analyze millions of conversations, and turn insights into actionable recommendations. You’ll build dashboards and communicate findings to both technical and non-technical stakeholders.