Data Science Intern (2027 Start)
Databricks
About the Role
At Databricks, we are passionate about helping data teams solve the world's toughest problems. As a Data Science Intern, you will join the Data team of data scientists and engineers to turn Databricks business and operations data into insights for product design, strategies for customer acquisition/retention, and optimizations to engineering system efficiency/stability/performance. The Data team also functions as an internal "customer" that dogfoods the Databricks platform and drives product improvements.
Key Responsibilities
- Work with the Data team and internal stakeholders (Product, Customer Success, Engineering, Sales, Marketing and Finance) to use data to solve problems.
- Apply your expertise in data science methodologies such as causal inference modeling and recommender systems to real data to deliver insights and/or deploy algorithms to the Databricks platform.
- Manage your own project end-to-end from data exploration to presenting insights to stakeholders and/or deployment an algorithm in a product environment.
Requirements & Tech Stack
- Proven ability to work with data in SQL and Python.
- Experience with multiple statistical data analysis and machine learning methods such as generalized linear regression, regression and classification trees, unsupervised learning methods, causal inference, stochastic processes, time series forecasting.
- You are excited to solve ambiguous problems with a collaborative team.
Qualifications
- You will graduate in fall 2027 or spring 2028 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering).
Pay Range Transparency
SF Bay Area Hourly Rate $54—$60 USD