Senior Data Scientist
Imprint · United States ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data science
- Experience
- 7+ years
- Salary
- USD 170,000 – 200,000 / year
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Build predictive models and agentic AI systems to optimize customer lifetime value, churn, and targeting for co-branded credit card programs using Python, SQL, and Snowflake.
Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, , H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank.
In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.
Deliver analytical projects that influence product decisions, marketing campaigns, and business 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
Support A/B testing and experimentation 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 explore data, generate hypotheses, monitor business metrics, and operationalize decisions
Translate complex data into clear narratives for leadership, helping shape how the company thinks about growth, partner health, and customer behavior
Contribute to team excellence through code reviews, knowledge sharing, and process improvements that raise the bar for the broader Data Science team
4 to 7+ years of experience in data science, analytics, or a related quantitative field, ideally at a high growth startup or fintech company
Degree in a relevant field (statistics, engineering, science, finance, or similar); graduate degree is a plus
Strong Python and SQL skills, with the ability to transform raw data, build custom datasets, and ship models to production
Solid foundation 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, whether for reasoning about data, generating hypotheses, iterating on analyses, or building agentic automation
Ability to communicate complex findings clearly to both technical and non technical audiences, including senior leadership and external partner stakeholders
Full stack problem solving orientation: you dive into messy data, test and validate assumptions, and question everything in pursuit of the right answer
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
Experience in credit, lending, or card products
Experience building or contributing to 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
We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.
Stack
Python and SQL for modeling and analysis. Snowflake for data warehousing. dbt for data transformation. Sigma for dashboarding. AWS infrastructure.
Learn More
Learn more about how we build at Imprint on our engineering blog:
Competitive compensation and equity packages
Leading configured work computers of your choice
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
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, 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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