About the company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Responsibilities
- 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.
- 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.
Requirements
- 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.
Conditions
- Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.