Databricks is looking for a Data Science Intern to help turn their business and operations data into insights for product design, customer acquisition/retention strategies, and engineering system optimizations. The intern will work with the Data team to dogfood the Databricks platform and drive product improvements.
Requirements
- 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
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
Other
- You will graduate in fall 2026 or spring 2027 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
- You are excited to solve ambiguous problems with a collaborative team
