Product Data Scientist

Givebutter is hiring a talented and passionate Product Data Scientist to join their growing Data team. The role involves collaborating with engineers, analysts, and Product stakeholders to understand business needs and build scalable solutions.

We want to hear from people who...

• Have experience turning product event data (clickstream, funnel events, user sessions, feature interactions) into behavioral insights that help product teams understand what users are actually doing, not just what they intend to do.
• Have collaborated with Product and Revenue teams, understanding how each function uses data differently, and what it takes to build analyses that influence decisions rather than just document what happened.
• Have designed, run, and communicated the results of A/B experiments in a practical context, including navigating inconclusive results and helping stakeholders make confident decisions without clean answers.
• Have demonstrated experience defining and governing product metrics such as activation rates, retention curves, engagement signals, and conversion funnels, and building dashboards and reports stakeholders trust.
• Have hands-on experience using AI tools to accelerate and enhance analytical work, with a curiosity about agentic analysis.

Responsibilities

Product Data Modeling

• Gain a deep understanding of the product team's business needs and data sources, partnering with stakeholders to define short- and medium-term requirements.
• Own the definition, logic, and documentation of the data model supporting product analytics needs, ensuring quality, usability, and clear documentation in a fast-moving environment.

Product & Revenue Analytics

• Manage data requests from product and revenue stakeholders, ensuring clear communication and timely delivery of high-quality results.
• Drive the strategic product analytics roadmap, identifying key analyses and capabilities before they are explicitly requested.

User Behavior & Experimentation

• Become a subject matter expert on user behavior, driving analyses on activation, engagement, and retention through behavioral insights and funnel work.
• Design, run, and communicate A/B experiments end-to-end, applying statistical rigor and helping stakeholders make confident decisions, even with ambiguous results.

Product Metrics Management

• Own the definition, logic, and documentation of product metrics, ensuring consistency across teams.
• Evolve the metrics framework as the product grows, identifying gaps and driving alignment on improvements.

Agentic Analytics Support

• Contribute domain expertise to the in-house agentic analytics framework, helping define good outputs for query, analytics, insights, and reporting agents.
• Collaborate with Analytics Engineering on building evaluation suites for AI-generated outputs, participating in agent improvement cycles, and translating business intuition into effective prompts.