Principal Data Scientist

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation.

• 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.

• 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.

Preferred:

• 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.

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
• We are committed to fostering a diverse and inclusive culture where everyone can excel.