Staff Data Scientist

Responsibilities

• Shape the direction of key data science areas including segmentation, recommendation systems, forecasting, and churn prediction
• Work closely with Engineering, Product Management, Sales, and Customer Success to drive data-driven decisions
• Manage stakeholders, define project OKRs, and communicate results to non-technical audiences
• Mentor and guide junior data scientists through project planning and code reviews
• Build self-serving internal data products to simplify data access across the company
• Represent Databricks at academic and industrial conferences

Requirements

• 7+ years of data science, machine learning, or advanced analytics experience in high-growth companies
• Extensive experience in end-to-end development and deployment of data-driven products
• Familiarity with product data science including adoption, churn, and cohort analysis
• Strong coding skills in Scala or Python with knowledge of software engineering principles
• Proficiency in data analysis and visualization using R and Python
• Experience with distributed data processing systems like Spark and proficiency in SQL
• MS or Ph.D. in a quantitative field such as Statistics, Math, Computer Science, or Physics

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Founded by the original creators of Apache Spark, Databricks is headquartered in San Francisco.