Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. The Data organization at Imprint provides the intelligence that accelerates decisions, strengthens marketing performance, powers product development, and improves cardholder experience. The Data Science team focuses on experimentation and causal inference, forecasting, product analytics, marketing optimization, and applied ML. Data Scientists at Imprint work end-to-end on their problem areas—they frame questions, build analyses and models, and create the visualizations stakeholders rely on. We’re hiring a Data Science Manager to lead and grow this team, and help them operate effectively, efficiently, and with consistently high standards.
Requirements
- Strong background in experimentation, causal inference, forecasting, or optimization.
- Strong proficiency in Python, SQL, and statistical methods, with hands-on depth if needed.
Responsibilities
- Set direction of the Data Science team, guiding the roadmap across optimization and automation.
- Manage, mentor, and develop a team of Data Scientists, raising the bar on technical rigor, ownership, and impact.
- Define modeling, experimentation, and machine learning best practices.
- Review analyses, models, and dashboards to ensure strong methodology and reliable decision-support.
Other
- 6+ years in data science, product analytics, or applied ML, including 3+ years experience leading teams and hiring strong talent.
- Partner with cross-functional leaders to shape problem definition, prioritization, and end-to-end execution. In particular, partner with Product & Marketing on experiment design, product analytics, spend efficiency, and lifecycle analytics.
- Experience collaborating with stakeholders in a fast-paced environment with evolving priorities.
- Ability to turn complex analyses into concise, actionable insights for technical and non-technical partners.
- A people-first leader who gives direct feedback, develops talent, and builds trust.
