Data Scientist

Who you are

• Givebutter is hiring a talented and passionate Product Data Scientist to join our growing Data team
• 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 the harder work of navigating inconclusive results and helping stakeholders make confident decisions without clean answers
• Have demonstrated experience defining and governing product metrics: activation rates, retention curves, engagement signals, conversion funnels, and building the dashboards and reports that make those metrics something stakeholders trust and return to
• Have hands-on experience using AI tools to accelerate and enhance analytical work, and a genuine curiosity about what it looks like when agents do the analysis, not just assist it
• 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
• Hi potential new butterslice! A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!

What the job involves

• We’re looking for someone to be a strong partner and collaborator, working with engineers, analysts, and Product stakeholders to deeply understand the most impactful business needs and build solutions that scale as we grow
• Product Data Modeling:
• 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
• Product & Revenue Analytics:
• 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
• User Behavior & Experimentation:
• 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
• Product Metrics Management:
• 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
• Agentic Analytics Support:
• 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

The application process

• Below is a high-level outline of our standard interview process
• Recruiter Screen: A 30-minute conversation to learn more about your background, walk through the role, and ensure mutual alignment on expectations, values, and logistics
• Hiring Manager Interview: A deeper dive into your relevant experience, skillset, and working style. This is your first opportunity to connect directly with the person who may be your future manager
• Assessment (technical or non-technical): This stage will vary based on the role. It could involve a live coding session, case study, or take-home project. Some roles may include two parts to this stage to evaluate both practical skills and problem-solving approaches
• Values Interview: A conversation with team members focused on how you align with our core values and leadership principles
• References: We connect with a few folks you’ve worked closely with to get a better picture of your working style and impact
• Offer: If all goes well, we’ll move to the offer stage!
• Please note, we will have an AI note-taking tool join most of our interviews

Benefits

• Health Insurance: Enroll in Medical, Dental, and Vision insurance covered 100% for employees
• 401(k): We offer access to a retirement planning account for all employees, with a 3% company match
• Parental Leave: Receive 12 weeks paid parental leave for both primary and secondary caregivers
• Vacation and Holiday: Givebutter offers a Flexible PTO policy with uncapped Vacation days. Givebutter is closed for a whole week in the summer for an employee Wellness Week
• Mental Health Support: Access a free membership to Talkspace, which includes unlimited messaging and one free video per month
• Charitable giving - employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter
• Home Office Stipend: Upgrade your home office with company-sponsored expenses including high-quality laptops, monitors, and modern technology
• Charitable Giving: Donate up to $50/month to any verified nonprofit you wish to support on Givebutter
• Professional Development: Grow through learning and development reimbursement opportunities