Principal Data Scientist
Databricks · Mountain View, CA | San Francisco, CA · Engineering
About this role
Databricks is hiring a principal-level Data Scientist based in Mountain View, CA | San Francisco, CA. The posting calls out experience with Spark, Databricks, MLflow, Machine Learning.
- Role
- Data Scientist
- Function
- data engineering
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA
- Department
- Engineering
More roles at Databricks
Job description
from Databricks careersRDQ427R169
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors.
Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.
Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation.