TL;DR

Principal Data Scientist (AI): Translating data science findings into actionable narratives for the CEO, C-suite, and Board of Directors with an accent on statistical rigor and executive decision-making. Focus on producing strategic insights on revenue, platform health, and competitive positioning while embedding a data-driven culture across the company.

Location: Remote in US

Company

Databricks is the data and AI company, helping organizations unify their data, analytics, and AI workloads with the Databricks Data Intelligence Platform.

What you will do

  • Translate complex data science findings into clear narratives for executives.
  • Serve as the company's chief statistical voice, ensuring analytical rigor.
  • Raise the communication bar across the Data Science organization.
  • Produce strategic analyses on revenue, platform health, and competitive positioning.
  • Partner with engineering and product leaders to embed a data-driven culture.
  • Represent Databricks as a data science thought leader externally.
  • Define and evolve company-wide scientific methodologies.

Requirements

  • 15+ years of experience in data science, statistics, or quantitative research.
  • Proven track record of presenting statistical concepts to C-suite and Board-level audiences.
  • Broad expertise across experimentation, causal inference, forecasting, optimization, and machine learning.
  • Exceptional written and verbal communication skills.
  • Track record of upleveling teams 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.

Nice to have

  • 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.

Culture & Benefits

  • Comprehensive benefits and perks to meet the needs of employees.
  • Committed to fostering a diverse and inclusive culture where everyone can excel.