Role overview
- 5+ years of demonstrated experience working in product analytics or product data science, acting as the analytics voice in consumer product pods.
- BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior.
- Excellent programming skills, including expert level skills with either Python (numpy, scipy, pandas) or R programming languages
- Expert level SQL skills
- Solid understanding of statistical analysis
- Experience communicating data driven insights
- The ability to use data to inform, persuade, and lead
- SQL
- Python or R
- Airflow
The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.
US Zone 1: $162000 - $190000
US Zone 2: $142000 - $167000
US Zone 3: $126000 - $148000
Tags & focus areas
Used for matching and alerts on DevFound Scientist Stats Data Science Senior Crypto Python R Pandas Numpy Airflow