What are the responsibilities and job description for the Data Scientist position at Imprint?
Who We Are
Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.
The Team
The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.
You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.
What You’ll Do
Compensation Range: $220K - $250K
Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.
The Team
The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.
You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.
What You’ll Do
- 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.
- 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.
- Experience building or scaling experimentation infrastructure.
- Familiarity with dashboarding tools (e.g., Sigma, Looker).
- Experience in credit, lending, or card products.
- Exposure to lifecycle marketing or prescreen modeling.
- Competitive compensation and equity packages
- Flexible vacation policy
- Fully covered, high-quality healthcare including fully covered dependent coverage
- Additional health coverage includes access to One Medical and 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
Compensation Range: $220K - $250K
Salary : $220,000 - $250,000