# Principal Data Scientist

**Company**: Databricks
**Location**: Remote - California; San Francisco, California; Seattle, Washington
**Work arrangement**: remote
**Experience**: executive
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8456277002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_40d7aa0b-d9c

## Description

We are 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.

As a Principal Data Scientist, you will:

- Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors , ensuring data science insights directly inform the company's most critical decisions.

- 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.

- 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.

- 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.

- 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.

- 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.

- Define and evolve company-wide scientific methodologies , experimentation frameworks, forecasting systems, causal inference approaches , to match and push industry state-of-the-art.

To be successful in this role, you will need:

- 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.

## Skills

### Required
- data science
- statistics
- quantitative research
- experimentation
- causal inference
- forecasting
- optimization
- machine learning
- written communication
- verbal communication

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8456277002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)