Summary

Data Science Interns 

are embedded within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision making in the full lifecycle of product development. You will help to drive strategic decisions with data, lead growth and experimentation initiatives, and develop automation solutions to personalize product experiences. 

You Will

1. Partner with product, engineering, marketing, and reliability teams to build tools and make decisions using analytics, statistics, quantitative reasoning, and machine learning.
2. Build self-service data tools that allow us to monitor the health and performance of our business and key product features.
3. Independently research questions related to product experiences and produce recommendations for peers and leadership.
4. Communicate analysis and decisions to peers and leadership in verbal, visual, and written media.
5. Work closely with a product managers, product marketers, designers and engineers to evangelize data best practices and implement analytics solutions

You Have

1. Pursuing a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field with an upcoming graduation of May 2026 through August 2027
2. Experience performing data analysis using Python (pandas, scikit-learn, etc.), R and/or SQL
3. Comfortable working with statistical models in a data rich environment 
4. Ability to understand complex business and data systems
5. Ability to clearly communicate complex results to technical and non-technical audiences
6. Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and models

Technologies We Use and Teach

1. SQL (Snowflake, BigQuery), Airflow, and Looker
2. Google Cloud Platform and AWS
3. Python and R
4. Machine learning and statistical modeling frameworks

Skills

• AWS
• Communications Skills
• Database Management
• Machine Learning
• Python
• SQL