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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
Consulting
Hardware
Industrial & Manufacturing
Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$240k - $337kAnnually

+ 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

Category
Data Science
Data & Analytics
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 provides a Lakehouse Platform integrating data management, analytics, and AI capabilities across a range of industries. Employing tools like Delta Lake and Databricks SQL enhances operational efficiency and precision. As a workplace, it offers a collaborative and technology-driven environment, promoting growth through cutting-edge machine learning solutions and a commitment to leading the industry in data innovation. This makes it an inspiring place for tech professionals to advance their careers in a vibrant and forward-thinking setting.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

15%

1 year growth

28%

2 year growth

89%

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