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Core Competencies
Role fitCore 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 to drive product improvements and client outcomes. Proficient in SQL and Python, capable of translating complex data into actionable insights for both technical and non-technical stakeholders.
Highest-signal resume keywords
Data ScienceA/B TestingSQLPythonExperimental Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceA/B TestingExperimental DesignCausal InferenceHypothesis-Driven AnalysisStatistical ModelingAnalytical FrameworksProduct Metrics DefinitionData AnalysisRoot-Cause Analysis
Soft Skills
Strong Communication SkillsAttention to DetailCuriosityOwnershipIndependence
Tools & Technologies
DashboardsSelf-Serve ToolsExperimentation SystemsAnalytical Data Models
Industry Keywords
Product AnalyticsMachine LearningClient OutcomesOperational EfficiencyStatistical Significance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
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 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.
Benefits
Comp & perks- 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
