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Torentify · United States

Data Scientist (For US Candidates Remote)

Remoteentry_levelfull timePosted 7 days ago
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# Principal Data Scientist

## About the Company

Databricks is a data and AI company that provides a unified platform for data, analytics, and AI workloads. Its platform is used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

## About the Role

The Principal Data Scientist will serve as the statistical voice of the Data Science organization, providing company-wide analytical leadership and translating complex data science findings into actionable insights for the CEO, C-suite, and Board of Directors. This individual contributor role focuses on statistical rigor, strategic analysis, methodology development, executive communication, and cross-functional influence.

## Qualifications

* 15+ years of experience in data science, statistics, or quantitative research

* Proven experience presenting statistical and data science concepts to C-suite and Board-level audiences

* Broad expertise in experimentation, causal inference, forecasting, optimization, and machine learning

* Exceptional written and verbal communication skills

* Experience setting analytical standards and mentoring senior data scientists

* 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

* Academic research or teaching experience preferred

* Experience at multiple tier-1 technology companies preferred

* Published research or recognized thought leadership in applied statistics preferred

* Experience building or leading a Chief Statistician or equivalent function preferred

* Experience in infrastructure, platform, or systems-oriented data science preferred

## Skills & Requirements

* Advanced statistics and data science

* Experimentation and causal inference

* Forecasting and optimization

* Machine learning

* Executive-level data storytelling

* Strategic data analysis

* Statistical methodology and standards

* Analytical rigor and quality assurance

* Revenue and platform analysis

* Operational efficiency analysis

* Competitive analysis

* Executive communication

* Cross-functional collaboration

* Team mentoring and analytical leadership

* External thought leadership

* Quantitative research

* Data-driven decision making

## Equal Opportunity

Databricks is committed to a diverse and inclusive workplace and provides equal employment opportunities without regard to protected characteristics, in accordance with applicable employment laws.

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