Data Scientist, Infrastructure Finance

What you'll do

• Develop models and scenarios connecting demand, utilization, cost, performance, and capacity constraints to investment and planning decisions.
• Identify efficiency opportunities and work with planning, engineering, operations, and finance teams to embed recommendations into plans and reviews.
• Communicate analysis to executive stakeholders and establish standards for model validation, documentation, auditability, and reproducibility.

What they ask for

• Bachelor's degree in a directly related field, or equivalent practical experience; quantitative field or equivalent practical experience.
• 10+ years applying analysis, data science, statistics, economics, or operations research to business and investment decisions.
• Experience with operational planning or resource allocation; scenario and sensitivity models; SQL and Python or equivalent tools; and executive communication.
• Experience with ROI and capital-allocation trade-offs, forecasting and uncertainty analysis, plus responsible AI use and validation.

Nice to have

• Experience with infrastructure planning, capacity engineering, operations, cloud or compute economics, or other capital-intensive systems.
• Familiarity with AI infrastructure economics, data center constraints, and data center, semiconductor, cloud, server, networking, and software architecture.

Pay

$210,000/year to $281,000/year (base salary)

Tools

SQL, Python, CPUs, GPUs

AI focus

Use AI tools to accelerate and improve analytical workflows, redesign workflows, and deliver measurable impact; apply responsible AI practices, including validation, reproducibility, risk assessment, bias mitigation, and sensitive-data handling.