Data Science Manager

Imprint • New York, NY

1d

About The Position

Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you. The Data organization at Imprint provides the intelligence that accelerates decisions, strengthens marketing performance, powers product development, and improves cardholder experience. We partner closely with all teams to ensure that experimentation and high-quality data inform our decision-making. Within this group, 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

• 6+ years in data science, product analytics, or applied ML, including 3+ years experience leading teams and hiring strong talent.
• Strong background in experimentation, causal inference, forecasting, or optimization.
• Strong proficiency in Python, SQL, and statistical methods, with hands-on depth if needed.
• 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.

Responsibilities

• Set direction of the Data Science team, guiding the roadmap across optimization and automation.
• Own hiring strategy and recruitment to grow the team with exceptional talent.
• Manage, mentor, and develop a team of Data Scientists, raising the bar on technical rigor, ownership, and impact.
• 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.
• Define modeling, experimentation, and machine learning best practices.
• Review analyses, models, and dashboards to ensure strong methodology and reliable decision-support.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 101-250 employees