Data Scientist 2 (Forecasting)

TL;DR

Data Scientist 2 (Forecasting): Build, tune, and maintain forecasting models for GPU, CPU, and Storage assets across day-ahead through quarterly horizons with an accent on utilization and demand-signal analysis that powers capacity planning. Focus on production-grade forecasting pipelines, explaining forecast variance, and partnering with Capacity, Sales, Product, Finance, and Data Center Operations to translate demand signals into infrastructure decisions.

Location: New York, NY

Salary: $134,000–$179,000 (base)

Company

CoreWeave provides cloud infrastructure and tools for building and scaling AI.

What you will do

• Build, tune, and maintain forecasting models for GPU, CPU, and Storage assets across defined planning horizons.
• Prepare utilization and demand analyses to support the consensus planning cycle and synthesize inputs from Sales and Product.
• Partner with Capacity Managers, Finance, and Data Center Operations to validate model assumptions against physical constraints and financial targets.
• Interpret utilization data, surface consumption patterns, explain forecast variance, and recommend improvements to models or source data.
• Build and maintain production-grade pipeline components that automate recurring forecast refreshes and reduce manual intervention.

Requirements

• Bachelor’s or Master’s degree in Operations Research, Statistics, Economics, Computer Science, or a related quantitative field.
• 3–5 years of experience in demand forecasting, capacity planning, or applied predictive modeling with hands-on ownership of forecasting models/workflows.
• Proficiency in Python and SQL for data manipulation, analysis, and predictive modeling.
• Experience writing production-quality, version-controlled code.
• Working exposure to S&OP, IBP, or other consensus-based planning environments.
• Ability to present forecast outputs, utilization analyses, or planning insights to cross-functional stakeholders.

Nice to have

• Experience in high-complexity, competitive, or low-margin industries (advanced manufacturing, semiconductors, energy, logistics, or cloud infrastructure).
• Familiarity with AI infrastructure constraints (GPUs, CPUs, data center operational constraints).
• Exposure to modern data/pipeline tooling such as dbt, Airflow, and Snowflake.
• Early experience applying operations research or optimization techniques to business problems.

Culture & Benefits

• Medical, dental, and vision insurance fully paid by CoreWeave.
• 401(k) with generous employer match; Flexible PTO.
• Health Savings Account, Flexible Spending Account, and Health Savings Account options.
• Tuition reimbursement and Employee Stock Purchase Program (ESPP).
• Paid parental leave and family-forming support; mental wellness benefits via Spring Health.
• Catered lunch in office and data center locations; casual environment and flexible, owner-minded culture.

Hiring process

• Interviews to evaluate forecasting/modeling experience, coding practices, and cross-functional communication.
• Compensation determined by job-related knowledge, skills, experience, interview performance, and market location.