Skip to content
← Back to job listings

Senior Data Scientist (Capacity Data)

CoreWeave · Sunnyvale, United States

External listingfull-time2 months ago

About The Role

Join CoreWeave, an AI hyperscaler, as a Senior Data Scientist. In this role, you will architect and scale the data infrastructure that supports our Integrated Planning and Capacity teams. You will lead the transition to a centralized, production-grade database system and build the pipelines and transformations necessary to unify disparate metrics into a single source of truth. Your work will directly enable dashboards used by operational planners and executives and provide the data required for autonomous, data-based decision-making.

  • Architect and scale the data infrastructure for Integrated Planning and Capacity teams, transitioning to a centralized, production-grade database system.
  • Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization.
  • Implement rigorous testing, monitoring, and quality-control frameworks to ensure the accuracy of metrics like power utilization, storage consumption, and quality fall-out.
  • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)
  • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)
  • Education: Master’s or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field
  • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures
  • Attention to Detail: A fanatical focus on data accuracy and the ability to audit complex transformations for logical consistency
  • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics
  • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints
  • Decision Science: Experience applying optimization techniques or Operations Research to supply-demand imbalances
  • This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency

This is an external listing. JobSpring does not represent or verify the employer. Report this listing