As a Senior Data Scientist on the CORPIO team, you will:

• Design and build production-grade systems and pipelines to automate capacity planning, demand management, and quota allocation.
• Implement and maintain sophisticated models for infrastructure demand forecasting, incorporating architectural shifts, peak loads, and time-shifting opportunities.
• Develop and deploy algorithms to optimize resource utilization across a heterogeneous fleet (CPU, GPU, TPU) and diverse supply models (on-demand vs. reserved).
• Architect and maintain robust data pipelines that ingest infrastructure telemetry and demand driver signals to feed forecasting and optimization engines.
• Build systems to translate resource plans into tangible outcomes (e.g., queue lengths, user demand fulfillment) and develop attribution models for capacity imbalances.
• Partner with Simulation, Infrastructure, and Finance teams to translate business requirements into technical specifications and automated solutions.
• Provide technical guidance on the intersection of quantitative modeling and systems engineering, mentoring junior members and influencing the technical roadmap for CORPIO.

You have:

• Bachelor's degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 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 using advanced statistical methods in an applied setting; familiarity with ML systems/models.
• Strong background in quantitative methods, such as optimization, statistical modeling, or time-series analysis.
• Demonstrated knowledge of Python/SQL/R data analysis libraries and packages.

We prefer:

• PhD or Master's degree in a quantitative field.
• Experience in Capacity Engineering or Infrastructure Optimization at scale.
• Familiarity with ML-driven forecasting and optimization techniques.
• Experience with financial modeling or cost-benefit analysis of technical infrastructure.
• Experience building automation tools for resource management and quota allocation.
• Knowledge of simulation workloads or high-performance computing (HPC) environments.

The expected base salary range for this full-time position across US locations is listed below:

• Salary Range: $213,000 — $263,000 USD.
• Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
• Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.