Data Scientist, Product

Summary

Givebutter is a nonprofit fundraising and CRM platform that helps changemakers raise more, pay less, and give better. The Product Data Scientist will partner with engineering, analytics, and product teams to build scalable product data models, behavioral analyses, experimentation programs, trusted metrics, and AI-enabled analytics capabilities.

Responsibilities

• Gain a deep understanding of the product team's business needs and data sources, partnering with stakeholders to understand what's needed in the short- and medium-term
• Working with our Analytics Engineering team, own the definition, logic, and documentation of the data model that supports product analytics needs, with a focus on quality, usability, and clear documentation in a fast-moving product environment
• Manage the inflow of data requests from product and revenue stakeholders, ensuring clear two-way communication on needs, expectations, and progress, and high-quality, timely delivery
• Drive the strategic product analytics roadmap as the business grows, identifying the analyses and capabilities that will matter most before they're explicitly requested
• Be a subject matter expert on how users move through the product, driving and developing the company's understanding of activation, engagement, and retention through behavioral analyses, funnel work, and product event data
• Design, run, and communicate the results of A/B experiments end to end, applying statistical rigor in a practical context and helping stakeholders make confident decisions, including when results are ambiguous
• Own the definition, logic, and documentation of the product metrics that the business runs, ensuring consistency in how key measures are defined, calculated, and communicated across teams
• Partner with product stakeholders to evolve the metrics framework as the product grows, identifying where existing metrics are insufficient or misleading and driving alignment on what should replace them
• Contribute domain expertise and evaluation rigor to our in-house agentic analytics framework, helping define what good outputs look like across our query, analytics, insights, and reporting agents
• Collaborate with Analytics Engineering on building eval suites for AI-generated analytical outputs, participate in agent improvement cycles, and help translate business intuition into the semantic and prompt layer that makes agents reliably useful

Skills

• • 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 any coding language)
• • Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions
• • Demonstrated interest in implementing agentic AI in a data context
• Actual experience preferred, but optional

Qualifications

Must Haves

• • 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 any coding language)
• • Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions

Nice to Haves

• • Demonstrated interest in implementing agentic AI in a data context
• Actual experience preferred, but optional

Benefits

• Offers Equity
• Offers Bonus
• Remote work from one of 10 hubs: Austin, Denver, Indianapolis, Los Angeles, San Francisco, New York, Salt Lake City, Minneapolis, Seattle, and Nashville
• Medical, Dental, and Vision insurance covered 100% for employees, plus HSA and FSA accounts
• 50% of Medical, Dental, and Vision premiums covered for all eligible dependents
• Access to a TalkSpace membership through Givebutter health insurance plans
• 3% 401k match for all eligible employees
• Flexible PTO policy with uncapped vacation days and company-recognized holidays
• One-week company closure each summer for Wellness Week
• 12 weeks of paid leave for all parents and comprehensive leave planning management through Aidora
• Company-paid UrbanSitter membership plus care credits for childcare, senior care, pet care, and household support
• Company-sponsored home office expenses, including high-quality laptops, monitors, and modern technology
• Monthly coworking stipend for coworking spaces or cafés
• Learning and development reimbursement opportunities