Empowering data-driven decision making in product development
Requirements
- Experience performing data analysis using Python (pandas, scikit-learn, etc.), R and/or SQL
- Comfortable working with statistical models in a data rich environment
- Ability to understand complex business and data systems
- Ability to clearly communicate complex results to technical and non-technical audiences
- Experience with SQL (Snowflake, BigQuery), Airflow, and Looker
- Experience with Google Cloud Platform and AWS
- Experience with Python and R
- Experience with machine learning and statistical modeling frameworks
Responsibilities
- Partner with product, engineering, marketing, and reliability teams to build tools and make decisions using analytics, statistics, quantitative reasoning, and machine learning
- Build self-service data tools that allow us to monitor the health and performance of our business and key product features
- Independently research questions related to product experiences and produce recommendations for peers and leadership
- Communicate analysis and decisions to peers and leadership in verbal, visual, and written media
- Work closely with a product managers, product marketers, designers and engineers to evangelize data best practices and implement analytics solutions
Other
- Pursuing a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field with an upcoming graduation of May 2026 through August 2027
