Senior Data Scientist, Simulation Capacity Optimization

What you'll do

• Develop production systems and pipelines for capacity planning, demand management, and quota allocation.
• Build forecasting models and resource optimization algorithms for CPU, GPU, and TPU capacity.
• Create data pipelines and outcome analyses, and collaborate with Simulation, Infrastructure, and Finance teams.

What they ask for

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience.
• Expertise applying advanced statistical methods and strong quantitative methods, such as optimization, statistical modeling, or time-series analysis.
• Demonstrated knowledge of Python/SQL/R data analysis libraries and packages; familiarity with ML systems/models.

Nice to have

• PhD or Master's degree in a quantitative field.
• Experience in capacity engineering or infrastructure optimization at scale.

Pay

$213,000 — $263,000 USD base salary

Tools

Python, SQL, R, CPU, GPU, TPU

AI focus

Familiarity with ML systems/models and ML-driven forecasting and optimization techniques; the role develops forecasting and resource optimization models for infrastructure.