Databricks
Senior Manager, Infrastructure Data Science
$229K–$314K
San Francisco, California +1 · Manager · Full-time · Posted Nov 18, 2024
- Location
- San Francisco, California
Mountain View, California - Experience
- 10+ years in infrastructure data science, machine learning, or advanced analytics; 5+ years of management experience.
- Education
- MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).
About the job
Leads infrastructure data science to improve Databricks’ capacity planning, performance, reliability, efficiency, and customer experience.
What you'll do
- Provide data-driven strategic guidance for infrastructure planning and decisions.
- Develop analyses and solutions to reduce infrastructure risks, improve reliability and performance, and optimize resource use.
- Manage and mentor data scientists and establish data frameworks to help support teams resolve product issues.
What they ask for
- 10+ years of infrastructure data science, machine learning, or 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.
- MS or Ph.D. in a quantitative field (Statistics, Math, CS or Engineering).
Nice to have
- Knowledge of statistics and rigorous analytical techniques; experience with data visualization tools, data engineering, data modeling, and big data technologies.
- Strong cross-functional leadership and communication skills, with a bias to action and a passion for problem-solving.
Pay
$228,600 — $314,250 USD (base salary)
Tools
machine learning, AI, cloud environment, data visualization tools, data engineering, data modeling, big data technologies
AI focus
Develop data science, machine learning, and AI products and capabilities in a cloud environment, applying analytics to infrastructure planning, reliability, performance, and efficiency.
Model-written summary · the original posting is authoritative