Data Science Intern: Build Insights & Deploy ML

Databricks Inc.; Mountain View, San Francisco (CA, CA); On-site; USD 74,000 - 83,000; Full time

Job summary

Databricks is seeking a Data Science Intern to join the Data team, turning business data into insights for product design, customer acquisition, and engineering efficiency. The role involves end-to-end project ownership and collaboration with product, engineering, and finance stakeholders in Mountain View and San Francisco.

The position emphasizes applying statistical methods and ML to real data, and presenting actionable insights to drive product improvements.

Qualifications

• Master's or PhD in a quantitative field (e.g., Statistics, Math, CS, Physics, Economics).
• Experience with SQL and Python for data analysis.
• Familiarity with multiple ML methods and time series forecasting.
• Ability to solve ambiguous problems collaboratively.

Responsibilities

• Work with the Data team and internal stakeholders to use data to solve problems.
• Apply data science methodologies such as causal inference and recommender systems to real data to deliver insights or deploy algorithms.
• Manage your own project end-to-end from data exploration to presenting insights or deployment.

Skills

SQL

Python

Statistics

ML methods

Education

Master's or PhD in a quantitative field

Job description

Databricks is seeking a Data Science Intern to join the Data team, turning business data into insights for product design, customer acquisition, and engineering efficiency. The role involves end-to-end project ownership and collaboration with product, engineering, and finance stakeholders in Mountain View and San Francisco.

The position emphasizes applying statistical methods and ML to real data, and presenting actionable insights to drive product improvements.