Mailchimp Product Data Science

• Influence product strategy: Be a strategic thought partner to senior Product and business leaders. Shape Mailchimp’s growth roadmap with deep dives into customer segmentation, onboarding and activation funnels, feature adoption, pricing and packaging, and retention.
• Set the analytics vision: Own the measurement framework, north-star and guardrail metrics, and leading indicators for the self-serve customer journey, from free and trial sign-ups to paid conversion, bookings, and recurring revenue.
• Lead experimentation and causal measurement: Drive a culture of rigorous, iterative experimentation. Design complex tests (A/B/n, sequential, holdouts, long-running), apply Bayesian and frequentist inference, and use causal inference methods such as difference-in-differences, propensity score matching, and synthetic control where randomized tests aren’t possible.
• Size and prioritize opportunities: Build opportunity-sizing and forecasting frameworks that turn product initiatives into incremental revenue impact, accounting for retention curves and the winner’s curse, so leadership can prioritize investment.
• Uncover growth opportunities: Use first-principles thinking and exploratory analysis to find untapped levers across the funnel, including in-product onboarding, lifecycle marketing, paid media, and plan upgrades.
• Shape the AI-native roadmap: Partner with Product and Engineering to measure AI-powered features in Mailchimp. Build ML and LLM-based solutions such as propensity models, personalization, and automated insights for hard product problems.
• Raise the scientific bar: Build reusable analytical frameworks, governed metric definitions, and self-serve tools that improve decision-making at scale. Champion strong instrumentation and data quality.
• Lead and mentor: Be a technical lead for the Product Data Science team. Coach and grow senior and staff data scientists, review their methods, and model executive-ready storytelling.

• 8+ years in data science, product analytics, or a related field, with a proven record of driving product strategy and measurable business impact.
• Experience in B2B SaaS, subscription, or freemium/self-serve businesses strongly preferred. Familiarity with marketing technology or small-business customers is a plus.
• Expert SQL and data modeling skills on cloud data warehouses (BigQuery preferred), plus advanced Python or R.
• Deep expertise in experimental design and causal inference, with the judgment to balance statistical rigor against speed of decision-making.
• Track record of sizing opportunities and forecasting revenue impact, including funnel, cohort, and retention analysis.
• Hands-on experience applying machine learning (classification, regression, uplift or propensity modeling) and LLM/GenAI workflows to real product problems.
• Proficient in an AI-native data science tech stack (for example, Claude, Cursor, or Codex with MCPs, CLIs, and APIs) and eager to keep building how the team works with AI.
• Excellent executive communication. You turn complex analysis into clear narratives and recommendations, and you’ve influenced senior leaders across Product, Marketing, and Finance.
• Experience leading ambiguous, cross-functional work where the question, metric definitions, or methodology have to be set before the analysis can start.
• Demonstrated mentorship and technical leadership of other data scientists.
• Bachelor’s or graduate degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or Operations Research, or equivalent practical experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $210,500 - $284,500

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible., Our workspaces and technology are always evolving to support collaboration, innovation, and spark creativity. Take a sneak peek at our office in Atlanta where our Mailchimp teams are headquartered.