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# Senior Data Scientist

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $123,200.0 - $218,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Code Review, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Software Engineering, Usage Analysis, Apache Spark, Information Technology, Data Analytics, Software Coding, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6971e164944a7743

## About the Role

Do you have experience in Stakeholder management?, Do you have a Bachelor's degree?, * Experience in applying Data Science / ML in production to build data-driven products for solving business problems.

 * Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
 * Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.
 * Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
 * Proficient in data analysis and visualization using tools like R and Python.
 * Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
 * BS/MS/PhD in Computer Science, or a related field

## Description

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products., * Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.

 * Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
 * Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
 * Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
 * Build self-serving internal data products to make data simple within the company.


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