D
Not Specified Permanent

San Francisco, California · USA job

Senior Manager, Infrastructure Data Science

DataBricks

San Francisco, California

Job description

Overview

In this role you will guide the data science strategy for Databricks infrastructure, shaping capacity planning, performance, and reliability. You will lead a team of data scientists and partner with engineers to deliver data-driven insights that optimize infrastructure and customer experience. You'll champion scalable, data-backed decisions to reduce downtime and boost efficiency across a fast-growing platform. You will mentor talent and foster a collaborative, impact driven culture aligned with Databricks' mission to empower data teams. This is an opportunity to influence critical infrastructure decisions at scale and drive measurable business value.

Compensation / Benefits
  • annual performance bonus
  • equity
  • comprehensive benefits
  • flexible work arrangements
  • career growth opportunities
Responsibilities
  • Provide thought leadership on infrastructure planning and scalability
  • Lead and mentor a team of data scientists
  • Develop data-driven solutions to identify and mitigate infrastructure risks
  • Improve resource utilization and drive cost optimization
  • Create data frameworks to accelerate troubleshooting and improve support quality
  • Collaborate with engineering leadership to evangelize analytics to executives
Key requirements
  • 10+ years of infrastructure data science/analytics experience in high-velocity environments
  • 5+ years of management experience in hiring and developing teams
  • Experience building data science and ML products in a cloud environment
  • Strong statistical knowledge and analytical techniques
  • Experience with data visualization, data engineering, modeling, and big data technologies
  • Leadership and cross-functional collaboration skills
  • Excellent communication to present analytics to executives
  • Strategic thinking
  • Bias to action
  • Problem-solving in ambiguity
  • Data science, analytics, ML and AI product development
  • Cloud data platforms
  • Statistics and rigorous analytical methods

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