Data Scientist

Imprint·Remote(United States)
Data & Analytics

WFA Digital Insight

As demand for data-driven decision making grows, professionals with expertise in statistical inference and experimentation are in high demand. Imprint, a fintech innovator, is redefining co-branded credit cards and financial products, making this Data Scientist role particularly interesting. With the remote job market booming, candidates with a strong background in data science and analytics will have a competitive edge. Before applying, consider how your skills align with Imprint's mission to drive business growth through data-driven insights.

Job Description

About the Role

Imprint is seeking a skilled Data Scientist to join their team, building the data foundation that powers smarter decision-making.

Responsibilities

  • Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops
  • Partner with cross-functional teams to design, analyze, and interpret A/B tests
  • 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

Requirements

  • 6+ years of experience in data science, analytics, or a related field
  • Proven expertise in statistical inference, causal analysis, and experimentation design
  • Experience with marketing or product analytics

How to Stand Out

  • Ensure your portfolio showcases expertise in statistical inference, experimentation, and data-driven decision making.
  • Develop a strong understanding of Imprint's fintech innovations and be prepared to discuss how your skills can drive business growth.
  • Practice explaining complex data insights in simple, actionable terms, as this is a key requirement for the role.
  • Be prepared to walk through your experience with A/B testing and experimentation design, highlighting specific successes and challenges.
  • Consider highlighting any experience with automation projects, such as anomaly detection or internal self-serve tools, as these are valuable skills for the position.

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