Related skills
sql python data visualization machine learning statisticsπ Description
- Conduct deep-dive analyses to identify growth opportunities and improve core metrics.
- Design, run, and analyze A/B experiments; perform causal inference analyses.
- Define and maintain key product metrics; build scalable dashboards.
- Create data visualizations and narratives to communicate insights to partners and leadership.
- Lead large-scale analytics projects to uncover user insights and deliver measurable impact.
- Role based in New York; in-person 3 days/week; partner with cross-functional teams.
π― Requirements
- Proven expertise in data science with statistics and machine learning.
- Outstanding problem-solving skills and critical thinking.
- Strong Python and SQL skills.
- Experience with data visualization tools and techniques.
- Ability to deliver in a fast-paced environment.
- PhD or Master's in quantitative field with 6-10 years in predictive modeling.
π Benefits
- Challenging, high-impact work to grow your career.
- Equity, bonus opportunities, and 401(k) matching.
- 100% paid health insurance for employees; 90% coverage for dependents.
- Lifestyle wallet for wellness and learning.
- Life and disability insurance, fertility benefits, and mental health benefits.
- Paid time off, holidays, sick time, parental leave, and more.
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