Full-Time

Head of Product Data Science

Posted on 2/16/2024

Databricks

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Compensation Overview

$240,000 - $337,000Annually

+ Equity + Flexible Time Off + Paid Parental Leave + Family Planning + Gym Reimbursement + Annual Personal Development Fund + Work Headphones Reimbursement + Employee Assistance Program

Senior, Expert

San Francisco, CA, USA

Required Skills
Data Science
Data Analysis
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

Databricks offers a Lakehouse Platform that unifies data, analytics, and AI, utilizing Delta Lake, Databricks SQL, and collaborative machine learning solutions to streamline data management and accelerate the machine learning lifecycle.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

10%

1 year growth

35%

2 year growth

114%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE