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HappyRobot

Founding Data Scientist

HappyRobot

. Define and track product, feature, and agent-level metrics .

Posted 11/2/2026full-timeSan Francisco • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science and Product Analytics, with a strong focus on experimental design, A/B testing, and statistical analysis. Proficient in SQL and Python, capable of translating complex product questions into actionable insights while maintaining high analytical accuracy.

Highest-signal resume keywords
Data Science ExperienceExperimental DesignSQL ProficiencyPython ProficiencyA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical AnalysisCausal InferenceHypothesis-Driven AnalysisProduct Metrics DefinitionRoot-Cause AnalysisStatistical ModelingAnalytical FrameworksPerformance MeasurementNLP AnalysisQuantitative Analysis
Soft Skills
Strong Communication SkillsAttention to DetailCuriosityOwnershipIndependence
Tools & Technologies
Data WarehousesBusiness Intelligence ToolsExperimentation PlatformsAnalytics InfrastructureDashboards
Industry Keywords
Product AnalyticsMachine LearningGenerative AIAI AgentsB2B ProductsConversational DataUnstructured DataStatistical SignificanceOperational EfficiencyFast-Growing Startup

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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 agent performance 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
  • Investigate anomalies and regressions, perform root-cause analyses, and recommend improvements
  • Build statistical models, simulations, and analytical frameworks for product and ML decisions
  • Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models
  • Build dashboards and self-serve tools for product and agent performance
  • Communicate findings and recommendations to technical and non-technical stakeholders

Requirements

What you’ll need
  • 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 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
  • Experience with large language models, AI agents, generative AI, or other probabilistic ML products preferred
  • Experience measuring production impact of model, prompt, retrieval, or orchestration changes preferred
  • Familiarity with ML evaluation systems and offline-to-online metrics preferred
  • Experience analyzing conversational, NLP, speech, or other unstructured data preferred
  • Experience with enterprise or B2B products preferred
  • Experience combining quantitative analysis with qualitative methods preferred
  • Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools preferred
  • Prior experience in a fast-growing startup or highly ambiguous environment preferred

Benefits

Comp & perks
  • Equity in a high-growth startup
  • Comprehensive healthcare coverage
  • Dental coverage
  • Vision coverage
  • Ownership and autonomy of projects
  • Encouragement to ship projects
  • Opportunity to join a world-class team of engineers and builders