Databricks is looking for a Data Scientist to join their Data team 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.
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 cross-functional stakeholders (Product, Customer Success, Engineering, Sales, Marketing and Finance) to use data to solve problems
- Apply your expertise in data science methodologies to real data to deliver insights and/or deploy algorithms to the Databricks platform
- Manage your own project end-to-end from requirements gathering, data exploration to presenting insights to stakeholders and/or deployment an algorithm in a production environment
Other
- You will have graduated in fall 2025 or spring 2026 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) and are looking to start immediately.
- You are excited to solve ambiguous problems with a collaborative team
