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Data Scientist, Product
Givebutter. Partner with engineers, analysts, and Product stakeholders to understand impactful business needs and build scalable solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Product Analytics, including A/B testing, data modeling, and user engagement analysis. Proficient in SQL and Python for data manipulation, with a strong focus on delivering high-quality insights and collaborating with cross-functional teams.
Highest-signal resume keywords
Product AnalyticsSQL Data ManipulationPython ProgrammingA/B TestingData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product AnalyticsSQLPythonData ManipulationA/B TestingData ModelingUser Engagement AnalysisClickstream Data AnalysisExperimentationData Documentation
Soft Skills
Proactive InitiativeCollaborationCommunication
Tools & Technologies
Analytics FrameworkAI Evaluation Suites
Industry Keywords
Product Event DataAgentic AIData Quality StandardsUser ActivationRetention Analysis
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Partner with engineers, analysts, and Product stakeholders to understand impactful business needs and build scalable solutions
- Gain an understanding of product business needs and data sources
- Own the definition, logic, and documentation of product analytics data models with Analytics Engineering
- Manage data requests from product and revenue stakeholders and ensure timely, high-quality delivery
- Drive the strategic product analytics roadmap
- Analyze user activation, engagement, retention, funnels, and product event data
- Design, run, and communicate end-to-end A/B experiment results
- Own and evolve product metric definitions, logic, documentation, and consistency
- Contribute domain expertise and evaluation rigor to the in-house agentic analytics framework
- Help define quality standards for query, analytics, insights, and reporting agents
- Collaborate on AI output evaluation suites and agent improvement cycles
- Translate business intuition into semantic and prompt layers
- Participate in recruiter, hiring manager, assessment, values, and reference interviews
Requirements
What you’ll need- 4+ years of experience in Product Analytics, experimentation, and working with product event or clickstream data
- Advanced degree in Statistics, Computer Science, Mathematics, or a related field, or relevant industry experience
- Expert querying and data manipulation skills using SQL and Python or another coding language
- Ability to proactively drive initiatives with minimal oversight
- Demonstrated interest in implementing agentic AI in a data context
- Actual agentic AI experience preferred but optional
- Legally authorized to work in the United States
Benefits
Comp & perks- Equity
- Bonus
- Medical, Dental, and Vision insurance covered 100% for employees
- HSA and FSA accounts
- 50% of Medical, Dental, and Vision premiums covered for eligible dependents
- TalkSpace membership
- 3% 401k match
- Flexible PTO with uncapped vacation days
- Company-recognized holidays
- One-week summer Wellness Week closure
- 12 weeks of paid parental leave for all parents
- Aidora leave planning management
- Company-paid UrbanSitter membership
- Care credits for childcare, senior care, pet care, and household support
- Home office stipend, including laptops, monitors, and modern technology
- Monthly coworking stipend
- Up to $50/month charitable giving allowance
- Learning and development reimbursement opportunities
- Remote work from one of 10 hubs