Data Scientist, Imprint

• 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

Desirable

• 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
• 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