Key skills
PythonSQLStatistical AnalysisCommunication
About this role
Role Overview
- Leverage causal inference methods or statistically sound analyses to drive actionable insights
- Build metrics and measurement frameworks that are statistically and causally robust
- Establish strong partnerships with team members and diverse stakeholders across the business
- Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs
- Proactively explore trends in content discovery to surface future opportunities
- Work independently and drive your own projects
Requirements
- An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- 5+ years of relevant experience in one or more data science roles
- Exceptional communication with technical and non-technical audiences
- Expertise in statistical analysis methods, most notably causal inference, statistical learning and experimentation methods
- Strong quantitative programming skills in a language such as Python and data manipulation in SQL
- Comfort with ambiguity; ability to thrive with minimal oversight and process
Tech Stack
- Python
- SQL
Benefits
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Flexible time off for full-time salaried employees