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Principal Data Scientist
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About the Role Databricks is seeking a Principal Data Scientist to be the statistical authority within the Data Science organization. This pivotal individual contributor role involves providing high-l
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Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
BrillioEdisonPrincipal Data Scientist Experience Range: 15-18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions.Key
Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
SecurityScorecardNew YorkJoin to apply for the Principal Data Scientist role at SecurityScorecard 3 days ago Be among the first 25 applicants Join to apply for the Principal Data Scientist role at SecurityScorecard Get AI-pow
Principal Data Scientist
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Principal Data Scientist
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Principal Data Scientist
Capital OneVirginiaRole Description In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of
Principal Data Scientist
- San Francisco, California, United States
- San Francisco, California, United States
À propos
Executive translation. Convert complex data science findings into clear, actionable insights for top leadership, directly influencing the company's most important decisions. Statistical authority. Act as the company's leading statistical expert, ensuring the highest level of analytical rigor in executive decision-making and advancing statistical method application within Databricks. Org-wide uplevel. Elevate communication standards across the entire Data Science organization through coaching, setting best practices, and co-authoring key executive-facing deliverables. Strategic insights. Conduct deep strategic analyses on key areas such as revenue, platform health, operational efficiency, and competitive positioning, generating judgment-rich insights. Cross-functional influence. Collaborate with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture company-wide, serving as a trusted analytical advisor. External thought leadership. Represent Databricks as a data science thought leader at industry events and in publications, helping to attract top talent. Methodology and standards. Develop and refine company-wide scientific methodologies, including experimentation frameworks, forecasting systems, and causal inference approaches, pushing industry boundaries.
What We Look For Required Qualifications
15+ years of experience in data science, statistics, or quantitative research in industry and/or academia. Proven ability to present statistical and data science concepts effectively to C-suite and Board-level audiences, demonstrating measurable impact on executive decision-making. Extensive expertise across various data science disciplines, including experimentation, causal inference, forecasting, optimization, and machine learning. Exceptional written and verbal communication skills, capable of making complex statistical concepts intuitive and compelling for non-technical executives. Demonstrated success in elevating team capabilities, setting analytical standards, mentoring senior data scientists, and improving overall organizational 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 Qualifications
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. #J-18808-Ljbffr
Compétences linguistiques
- English
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