Principal Data ScientistNew

Databricks
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The opportunity

RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

What you'll do

  • Executive translation. 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.

  • 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.

What they're looking for

  • 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.
  • + 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.