Principal Data Scientist

🕒 March 10

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors. • Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. • Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. • Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning. • Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. • Represent Databricks externally as a data science thought leader at industry conferences and publications. • Define and evolve company-wide scientific methodologies.

🎯 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.

🏖️ Benefits

• Comprehensive benefits and perks • Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development