Salary
💰 $179,000 - $210,000 per year
About the role
- Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
- Design, plan, implement, and analyze A/B experiments and conduct causal inference analysis to evaluate product changes.
- Define and maintain key product performance metrics and build scalable dashboards to monitor metrics and advise decision-making.
- Build compelling data visualizations and narratives to communicate insights and recommendations to partners and senior leadership.
- Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
- Partner with Product, Engineering, Operations, and other teams to integrate data-driven decision-making into product and business processes.
- Assist with established methods, standard approaches, and promote a data-informed culture within the organization.
- In-person attendance expected at least 3 days per week in New York office.
Requirements
- Proven expertise in data science, with a strong background in statistical analysis and machine learning
- Outstanding problem-solving skills and the ability to think critically and creatively
- Strong programming skills in Python & SQL, or other relevant languages
- Experience with data visualization tools and techniques
- Ability to successfully implement projects and compete in a fast-paced environment
- PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences
- At least 6-10 years of experience developing and deploying predictive models
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- 100% paid health insurance for employees with 90% coverage for dependents
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
- Exceptional office experience with catered meals, events, and comfortable workspaces
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencestatistical analysismachine learningPythonSQLdata visualizationpredictive modelsA/B testingcausal inference analysisdashboard development
Soft skills
problem-solvingcritical thinkingcreativityproject implementationadaptability
Certifications
PhDmaster’s degree