Sr. Data Scientist - Capacity Data
Core
Architect and scale the data infrastructure serving as the backbone for Integrated Planning and Capacity teams, unifying metrics on power utilization, node health, and customer capacity allocation.
Role type
Senior data scientist / data engineer (capacity planning)
Builds
Centralized, production-grade database systems and data pipelines for operational planning
Domain
AI infrastructure / Cloud computing / Data center operations
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data pipeline architecture, production-grade planning systems (ERP/MRP), systems thinking, data accuracy auditing
Preferred skills
AI infrastructure domain knowledge (GPU/CPU metrics), high-complexity environment experience (cloud/semiconductors/logistics), optimization techniques (Operations Research)
Technologies
dbt, Airflow, Snowflake, BigQuery
Responsibilities
Design and maintain end-to-end data pipelines aggregating data from data center operations, power metrics, and finance; Build and optimize data structures for real-time dashboards; Ensure data pipelines support quantitative AI agent development; Partner with cross-functional teams on data center bring-up and node health; Implement testing and quality-control frameworks for metric accuracy
Seniority
Senior, hands-on IC
