Staff Data Scientist

The Opportunity

Own end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy, from problem definition through deployment and monitoring
Build segmentation frameworks and predictive models (churn, LTV, propensity) that drive targeting, personalization, and lifecycle optimization across Imprint's partner programs
Champion A/B testing and experimentation across the company by partnering with Product, Marketing, and Commercial teams to design, analyze, and interpret experiments using scalable frameworks and tooling
Apply statistical inference, causal analysis, and experimentation design to improve LTV/CAC ratios and accelerate feedback loops on business performance
Design and build agentic workflows and AI-powered systems that autonomously explore data, generate hypotheses, monitor business metrics, and operationalize decisions
Translate complex data into clear narratives that shape how leadership thinks about growth, partner health, and customer behavior
Contribute to team excellence through code reviews, technical mentorship, and process improvements that raise the bar for the broader Data Science team

Your Profile

• 7 to 12+ years of experience in data science, analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
• Graduate degree in a relevant field (statistics, engineering, science, finance, or similar)
• Strong Python and SQL skills, with the ability to transform raw data, build custom datasets, and ship models to production
• Deep expertise in statistical inference, experimentation design, and causal analysis
• Active experience using LLMs and AI tools (Claude, Copilot, Cursor, or similar) as collaborators in your workflow

Nice to Have

• Experience in credit, lending, or card products
• Experience building or scaling experimentation infrastructure or ML infrastructure
• Exposure to lifecycle marketing, prescreen modeling, or customer segmentation at scale
• Background in time series analysis, forecasting, optimization, or simulation
• Familiarity with dashboarding tools such as Sigma or Looker

Stack

• Python and SQL for modeling and analysis
• Snowflake for data warehousing
• dbt for data transformation
• Sigma for dashboarding
• AWS infrastructure

Perks & Benefits

• Competitive compensation and equity packages
• Leading configured work computers of your choice
• Flexible paid time off
• Full-coverage, high-quality healthcare, including fully covered dependent coverage
• Additional health coverage includes access to One Medical and the option to enroll in an FSA
• 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
• Access to industry-leading technology across all of our business units