Principal Data Scientist

🕒 Março 10

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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