Data Scientist

New York, Remote

Imprint

Meet the powerful, purpose-built co-branded products that seamlessly adapt to your brand.

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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

  • 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.

What We Look For

  • 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.

Bonus Points For

  • 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.

Perks & Benefits

  • 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

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

 

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Job stats:  5  1  0
Category: Data Science Jobs

Tags: A/B testing Data Analytics FinTech Looker Python SQL Statistics Testing

Perks/benefits: Competitive pay Equity / stock options Flex vacation Health care Medical leave Parental leave Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States

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