Data Science Intern (2027 Start)
Databricks
About the Role
As a Data Science Intern at Databricks, you will join the Data team of data scientists and engineers. Your work will focus on transforming Databricks' business and operations data into actionable insights for product design, customer acquisition/retention strategies, and optimizations for engineering system efficiency, stability, and performance. The Data team also serves as an internal "customer" to test and improve the Databricks platform. This role is available in the Mountain View & San Francisco offices.
Key Responsibilities
- Collaborate with the Data team and internal stakeholders (Product, Customer Success, Engineering, Sales, Marketing, and Finance) to leverage data for problem-solving.
- Apply data science methodologies such as causal inference modeling and recommender systems to real-world data, delivering insights or deploying algorithms to the Databricks platform.
- Independently manage projects from initial data exploration through to presenting insights to stakeholders and/or deploying algorithms in a product environment.
Requirements & Tech Stack
- Proficiency in working with data using SQL and Python.
- Experience with various statistical data analysis and machine learning methods, including:
- Generalized linear regression
- Regression and classification trees
- Unsupervised learning methods
- Causal inference
- Stochastic processes
- Time series forecasting
Qualifications
- Expected to graduate in Fall 2027 or Spring 2028 with a Master's or PhD degree in a quantitative field such as Statistics, Math, Computer Science, Physics, Economics, Operational Research, or Engineering.
- Demonstrated ability to work with data in SQL and Python.
- Experience with multiple statistical data analysis and machine learning methods.
- A strong desire to solve ambiguous problems within a collaborative team setting.
SF Bay Area Hourly Rate: $54—$60 USD