Databricks - Mountain View, CA

posted 14 days ago

Full-time - Senior
Mountain View, CA
1,001-5,000 employees
Professional, Scientific, and Technical Services

About the position

The Senior Manager, Product Data Science at Databricks is responsible for leading a team of data scientists to develop data and AI products. This role involves collaborating with product managers and engineering leaders to provide data-driven insights, establish project roadmaps, and implement data science initiatives. The manager will focus on uncovering insights, improving product metrics, and enhancing customer experience through data analysis and experimentation.

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 and new product features.
  • Partner with product managers and cross-functional stakeholders to build a roadmap of strategic capabilities.
  • Design metrics and KPI definitions with goals for different product areas and communicate insights to senior management.
  • Create and expand impact measurement methodologies across all Databricks products and initiatives.
  • Function as a thought partner with senior management to develop the long-term vision for the Databricks product.

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 products in a cloud environment.
  • Knowledge of statistics and rigorous analytical techniques.
  • Experience with data visualization tools and knowledge of data engineering and big data technologies.
  • Strong communication skills to explain analytics and data science to executives.
  • MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

Nice-to-haves

  • Leadership skills to lead across functional and organizational lines.
  • Bias to action and passion for delivering high-quality data solutions.
  • A passion for problem-solving and comfort with ambiguity.

Benefits

  • Comprehensive benefits and perks that meet the needs of all employees.
  • Eligibility for annual performance bonus and equity.
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