Senior Data Scientist (Fintech)

Location: Hybrid in New York City or San Francisco, United States

Salary: $170,000–$200,000 annually, plus equity

Company

hirify.global builds embedded co-branded credit card programs and payment infrastructure that help brands improve customer loyalty, savings, and growth without becoming banks.

What you will do

• Deliver analytical projects that influence product decisions, marketing campaigns, and business strategy from problem definition through deployment and monitoring.
• Build segmentation frameworks and predictive models for churn, lifetime value, propensity, targeting, personalization, and lifecycle optimization.
• Partner with Product, Marketing, and Commercial teams to design, analyze, and interpret A/B tests and experiments.
• Apply statistical inference, causal analysis, and experimentation design to improve LTV/CAC ratios and business feedback loops.
• Design agentic workflows and AI-powered systems that explore data, generate hypotheses, monitor metrics, and operationalize decisions.
• Communicate findings to leadership and partner stakeholders while contributing through code reviews, knowledge sharing, and process improvements.

Requirements

• 4–7+ years of experience in data science, analytics, or a related quantitative field, ideally in a high-growth startup or fintech company.
• Degree in statistics, engineering, science, finance, or a similar relevant field.
• Strong Python and SQL skills, including transforming raw data, building datasets, and shipping models to production.
• Strong foundations in statistical inference, experimentation design, and causal analysis.
• Active experience using LLMs and AI tools such as Claude, Copilot, Cursor, or similar tools in analytical and automation workflows.
• Ability to communicate complex findings clearly and own projects end to end while collaborating with Product, Marketing, Commercial, and Engineering.

Nice to have

• Experience with credit, lending, or card products.
• Experience with experimentation infrastructure or ML infrastructure.
• Experience with lifecycle marketing, prescreen modeling, or customer segmentation at scale.
• Background in time series analysis, forecasting, optimization, or simulation.
• Familiarity with Sigma or Looker.

Culture & Benefits

• Competitive compensation with equity.
• Flexible paid time off and fully covered healthcare, including dependent coverage.
• Access to One Medical and an optional FSA.
• 20 weeks of paid parental leave for primary caregivers and 8 weeks for all new parents.
• Choice of configured work computer and access to technology across business units.