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I

Staff Data Scientist

Imprint

Staff Data Scientist applying statistical methods and predictive modeling at fintech. Collaborating across teams to drive measurable business outcomes through data insights.

Posted 5/26/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $200,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Apply statistical inference, causal analysis, and experimentation design to improve LTV/CAC and accelerate feedback loops
  • Champion A/B testing by partnering with cross-functional teams to design, analyze, and interpret experiments rigorously, using scalable frameworks and tooling
  • Build segmentation frameworks and predictive models (churn, LTV, propensity, etc) to drive targeting, personalization, and lifecycle optimization
  • Design and build agentic workflows to automate the data science lifecycle (exploration, modeling, experimentation)
  • Use LLMs and AI tools as collaborators to reason about data, generate hypotheses, and iterate on analyses
  • Build AI-driven systems for monitoring, diagnosing, and automating business insights and decisions
  • Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy
  • Support automation projects as needed, including anomaly detection, partner data reporting, and internal self-serve tools or dashboards
  • Own projects end-to-end - from problem definition through implementation, deployment, and monitoring - while collaborating cross-functionally to drive impact
  • Contribute to team excellence through code reviews, technical mentorship, and process improvements

Requirements

What you’ll need
  • 7-12+ years (depending on leveling & education) of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company
  • Graduate degree in a relevant field (statistics, engineering, science, finance, etc)
  • Strong Python and SQL skills, with the ability to transform raw data and build custom datasets when needed
  • Highly analytical mindset with a bias toward action and a relentless focus on getting the numbers right
  • Ability to clearly communicate complex findings to technical and non-technical audiences
  • Comfort owning projects end-to-end and collaborating cross-functionally to drive impact
  • Full-stack problem-solving orientation—eager to dive into messy data, test and validate assumptions, and question everything in pursuit of a solution.

Benefits

Comp & perks
  • 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
  • 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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical inferencecausal analysisA/B testingsegmentation frameworkspredictive modelsdata science lifecycleautomationPythonSQLLLMs
Soft Skills
analytical mindsetcommunicationproject ownershipcollaborationproblem-solvingmentorshipprocess improvementbias toward actionattention to detailinfluence