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# Principal Data Scientist

- **Company:** Databricks
- **Location:** Mountain View, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Information Technology, Data Management, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=828d70d0e194728f

## About the Role

Do you have experience in Team development?, * 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.

 * Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.
 * Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.
 * Exceptional written and verbal communication - the ability to make complex statistical concepts intuitive and compelling for non-technical executives.
 * Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.
 * Experience at the intersection of statistics and large-scale technology or data platforms.
 * Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field., * Academic research or teaching background in statistics or a quantitative field.
 * Industry experience at multiple tier-1 technology companies.
 * Published research or recognized thought leadership in applied statistics.
 * Experience building or leading a "Chief Statistician" or equivalent function.
 * Experience in infrastructure, platform, or systems-oriented data science.

## Description

* Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.
 * Org-wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.
 * Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning - the kind of synthesized, judgment-rich insight that AI cannot autonomously create.
 * Cross-functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.
 * External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.
 * Methodology and standards. Define and evolve company-wide scientific methodologies - experimentation frameworks, forecasting systems, causal inference approaches - to match and push industry state-of-the-art.


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