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Staff Data Scientist
ImprintStaff 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 & technologiesPythonSQL
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
✓ Tailor your resumeApplicant 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