Data Scientist at Imprint leveraging data analytics to enhance co-branded credit card offerings and optimize financial product decisions. Collaborating with cross-functional teams in a high-impact role.
Responsibilities
Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops.
Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling.
Build segmentation frameworks and predictive models to drive targeting and personalization.
Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy.
Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards.
Requirements
6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company.
Proven expertise in statistical inference, causal analysis, and experimentation design.
Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation).
Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
A highly analytical mindset with a bias toward action.
Ability to clearly communicate complex findings to technical and non-technical audiences alike.
Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact.
Benefits
Competitive compensation and equity packages
Leading configured work computers of your choice
Flexible paid time off
Fully covered, high-quality healthcare, including fully covered dependent coverage
Additional health coverage includes access to One Medical and the option to enroll in an FSA
16 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, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
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