Principal Data Scientist

Навыки

• Решения на данных
• Data Lake
• Лидерство
• Machine Learning
• MLOps
• Spark
• Статистика

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
• Databricks is 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.

Задачи

• 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

Требования

• 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

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

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