Related skills
sql python experimentation segmentation📋 Description
- Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC.
- Lead A/B testing with cross-functional teams using scalable frameworks and data tooling.
- Build segmentation frameworks and predictive models for targeting and personalization.
- Translate data into narratives influencing product decisions, marketing campaigns, and strategy.
- Support automation projects like anomaly detection, partner data reporting, or internal self-serve dashboards.
🎯 Requirements
- 6+ years in data science or analytics, ideally fintech startups.
- Expertise in statistical inference, causal analysis, and experimentation design.
- Experience with marketing/product analytics (segmentation, attribution, experiments).
- Strong SQL and Python; able to build datasets as needed.
- Analytical mindset with a bias toward action.
- Ability to clearly communicate findings to technical and non-technical audiences; own projects end-to-end.
- Nice to Have: dashboarding tools like Sigma or Looker.
🎁 Benefits
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including dependent coverage
- Additional health coverage includes One Medical and FSA option
- 16 weeks of paid parental leave for primary caregiver and 8 weeks for all new parents
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!