Head of Product Data Science
Confirmed live in the last 24 hours
Databricks

5,001-10,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data & Analytics

Company Stage

Series I

Total Funding

$4.2B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

42%

2 year growth

123%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Analysis
CategoriesNew
Data Management
Data Science
Data & Analytics
Requirements
  • 10+ years of product data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • 5+ years of management experience hiring and developing teams
  • Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
  • Knowledge of statistics and rigorous analytical techniques
  • Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
  • Leadership skills and experience to lead across functional and organizational lines
  • Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team
  • Bias to action and passion for delivering high-quality data solutions
  • A passion for problem-solving and comfort with ambiguity
  • MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
Responsibilities
  • Lead data scientists to provide product insights and develop important data and AI products and capabilities
  • Develop data science solutions to identify opportunities for product improvements, new product features, improve and forecast growth, and improve product use and customer experience
  • Partner with product managers and stakeholders to understand the business need and priorities to build a roadmap of strategic capabilities and ensure delivery and adoptions
  • Design metrics and KPI definitions with goals for different product areas, report and communicate insights around product success to partners and the senior management team
  • Function as a thought partner with senior management and stakeholders, and provide leadership in developing the long-term vision and requirements for the Databricks product