Data Scientist

Role Overview

• You’ll help make data a core part of how we build and improve HappyRobot’s products.
• Work closely with Product, Engineering, and Machine Learning teams to measure changes to our models, agents, and product features.
• Define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.
• Evaluate A/B tests and model changes to analyze millions of conversations and workflows.
• Turn complex data into clear insights that influence our product and ML roadmaps.
• 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 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.

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.
• Experience partnering closely 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.

Tech Stack

• Python
• SQL

Benefits

• Comprehensive Benefits
• Healthcare, dental, vision coverage.
• Top-Tier Compensation
• Competitive salary + equity in a high-growth startup.
• Opportunity to work at a high-growth AI startup, backed by top investors.
• Ownership & Autonomy
• Take full ownership of projects and ship fast.
• Work With the Best
• Join a world-class team of engineers and builders