Senior Staff Data Scientist (AI)

Location: Hybrid in New York, NY; Mountain View, CA; or Atlanta, GA, with 3 days per week in the office.

Base pay: $210,500–$284,500 annually in New York. The role may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Shape Mailchimp’s product growth strategy through customer segmentation, onboarding and activation analysis, feature adoption, pricing, packaging, and retention insights.
• Own measurement frameworks, north-star and guardrail metrics, and leading indicators across sign-up, conversion, bookings, recurring revenue, engagement, and retention.
• Design and lead rigorous experimentation, including A/B/n, sequential, holdout, and long-running tests, as well as causal measurement when randomized testing is not possible.
• Build opportunity-sizing and revenue-forecasting frameworks using funnel, cohort, retention, and incremental-impact analysis.
• Partner with Product and Engineering on AI-powered Mailchimp features, including propensity models, personalization, and automated insights.
• Develop reusable analytical frameworks and self-serve tools, improve instrumentation and data quality, and mentor senior and staff data scientists.

Requirements

• 8+ years of experience in data science, product analytics, or a related field, with a record of driving product strategy and measurable business impact.
• Expert SQL and data-modeling skills on cloud data warehouses, preferably BigQuery, plus advanced Python or R.
• Deep expertise in experimental design and causal inference, including the judgment to balance statistical rigor with decision speed.
• Experience sizing opportunities and forecasting revenue impact through funnel, cohort, and retention analysis.
• Hands-on machine learning experience with classification, regression, uplift or propensity modeling, and LLM/GenAI workflows applied to product problems.
• Proficiency with an AI-native data science stack, such as Claude, Cursor, or Codex with MCPs, CLIs, and APIs.
• Excellent executive communication and the ability to turn complex analysis into clear narratives and recommendations for senior Product, Marketing, and Finance leaders.
• Experience leading ambiguous, cross-functional work; mentoring and providing technical leadership to data scientists.
• Bachelor’s or graduate degree in Statistics, Economics, Computer Science, Mathematics, Operations Research, or equivalent practical experience.

Nice to have

• Experience in B2B SaaS, subscription, or freemium/self-serve businesses.
• Familiarity with marketing technology or small-business customers.

Culture & Benefits

• Hybrid collaboration model requiring 3 office days per week.
• Competitive compensation with pay-for-performance rewards.
• Potential cash bonus, equity rewards, and benefits under applicable company plans and programs.
• Workspaces and technology are designed to support collaboration, innovation, and creativity.