Staff Data Scientist

Join Imprint as a Staff Data Scientist, where you will own end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy. You will build segmentation frameworks and predictive models, champion A/B testing and experimentation, and design and build AI-powered systems. You will also translate complex data into clear narratives and contribute to team excellence through code reviews and technical mentorship. The ideal candidate will have deep expertise in statistical inference, experimentation design, and causal analysis, as well as strong Python and SQL skills.

• Own end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy.
• Build segmentation frameworks and predictive models that drive targeting, personalization, and lifecycle optimization.
• Champion A/B testing and experimentation across the company by partnering with Product, Marketing, and Commercial teams.
• Deep expertise in statistical inference, experimentation design, and causal analysis
• Ability to communicate complex findings clearly to both technical and non-technical audiences, including senior leadership and external partner stakeholders
• Strong Python and SQL skills, with the ability to transform raw data, build custom datasets, and ship models to production
• 7 to 12+ years of experience in data science, analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
• Full-stack problem-solving orientation: you dive into messy data, test and validate assumptions, and question everything in pursuit of the right answer
• Graduate degree in a relevant field (statistics, engineering, science, finance, or similar)
• Comfort owning projects end-to-end in a fast-moving startup environment, collaborating cross-functionally with Product, Marketing, Commercial, and Engineering to drive measurable impact
• Active experience using LLMs and AI tools (Claude, Copilot, Cursor, or similar) as collaborators in your workflow, whether for reasoning about data, generating hypotheses, iterating on analyses, or building agentic automation
• Experience in credit, lending, or card products
• Experience building or scaling experimentation infrastructure or ML infrastructure
• Background in time series analysis, forecasting, optimization, or simulation
• Exposure to lifecycle marketing, prescreen modeling, or customer segmentation at scale
• Familiarity with dashboarding tools such as Sigma or Looker