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AI GPU Cluster Cost Forecasting Analyst

Ellie Petrov

Full-time · Job · Chicago

About the role

GPU clusters are the most expensive line item in any AI company's budget, and most teams have no idea what next month's bill will look like. A single researcher launching a large training run can swing the monthly cost by $50K. Our cost forecasting tool predicts GPU spending based on scheduled experiments, historical utilization patterns, and capacity commitments. As a junior analyst, you'll build the forecasting pipelines: aggregating historical spending data by team, project, and instance type, identifying seasonal patterns and trend lines, and producing weekly cost forecasts that finance teams use for budget planning. You'll also build the variance analysis reports that explain why actual spending differed from forecast — was it an unplanned experiment, a pricing change, or a capacity commitment that didn't get utilized? The FinOps team is three people. You'll learn GPU pricing dynamics quickly because the data tells clear stories. Your manager will review your first forecasts, but within 3 months you'll own the weekly forecast production independently.

Responsibilities

  • Build cost forecasting pipelines aggregating GPU spending by team and project
  • Identify seasonal patterns and trends in cluster utilization
  • Produce weekly cost forecasts for finance budget planning
  • Create variance analysis explaining forecast-to-actual differences
  • Track capacity commitment utilization rates
  • Maintain forecasting dashboards and reporting templates

Requirements

  • 1+ year of data analysis experience with Python and SQL
  • Basic understanding of time series patterns and trend analysis
  • Familiarity with visualization tools: Tableau, Looker, or similar
  • Interest in cloud infrastructure and cost management
  • Clear communication for presenting financial data to non-technical stakeholders

Benefits

  • Fully remote with flexible hours
  • Health and dental insurance
  • $1,500 learning stipend
  • Mentorship from senior FinOps practitioners
  • Learn GPU economics from the inside

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Categories

data science & analytics MLOps & AI Infrastructure

Skills

python sql pandas statistics aws

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

Under $60k / year

AI Expertise

data science & analytics MLOps & AI Infrastructure

Skills

python sql pandas statistics aws tableau

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