Data Science Intern
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with internal stakeholders to use data to solve business problems. You will apply data science methodologies to real data, deliver insights, and deploy algorithms to the platform. You will manage a project from data exploration through stakeholder presentations or product deployment.
Requirements
- Graduate in fall 2027 or spring 2028 with a Master's or PhD degree in a quantitative field
- Work with data in SQL and Python
- Use statistical data analysis and machine learning methods, including regression, classification trees, unsupervised learning, causal inference, stochastic processes, and time series forecasting
Responsibilities
- Work with internal stakeholders to use data to solve problems
- Apply data science methodologies to real data and deliver insights or deploy algorithms
- Manage projects from data exploration through presenting insights or deploying algorithms
Benefits
- Annual performance bonus eligibility
- Equity eligibility