Senior Quant Data Scientist, Capacity & Resource Optimization

Waymo LLC; Sacramento (CA); Remote; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Company benefits program

Job summary

Waymo is seeking a Senior Data Scientist for the CORPIO team to design production-grade systems that forecast infrastructure demand and automate capacity planning, ensuring the Waymo Driver runs efficiently at scale across CPU, GPU, and TPU resources.

You will build data pipelines from telemetry and demand signals, develop optimization algorithms, and partner with Simulation, Infrastructure, and Finance teams to translate business needs into automated solutions.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years of industry experience solving data science problems, or a PhD with 3+ years.
• 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.

Responsibilities

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

Skills

Python

SQL

R

Time-series analysis

Optimization

Education

Bachelor's degree in quantitative field

PhD in quantitative field

Job description

Waymo is seeking a Senior Data Scientist for the CORPIO team to design production-grade systems that forecast infrastructure demand and automate capacity planning, ensuring the Waymo Driver runs efficiently at scale across CPU, GPU, and TPU resources.

You will build data pipelines from telemetry and demand signals, develop optimization algorithms, and partner with Simulation, Infrastructure, and Finance teams to translate business needs into automated solutions.