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Lully

Data Scientist

Lully

Data Scientist at HappyRobot, focusing on leveraging data to enhance AI workforce products. Collaborate across teams to measure and analyze product performance and client outcomes.

Posted 7/14/2026full-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 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

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Applicant Tracking System Keywords

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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 & technologies
PythonSQL

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