Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes inclusivity and celebration. We value diverse backgrounds, perspectives, and experiences; recognize that inclusive actions lead to equitable outcomes; and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.

This role follows a hybrid work schedule and reports to the Head of Infrastructure Strategy.

You will:

• Build Demand Models: Own and develop data-driven demand models for Waymo infrastructure that maximize business value while aligning cross-functionally on operational constraints.

• Apply Advanced Analytics: Use linear programming, stochastic modeling, simulations, and other optimization tools to derive high-impact business recommendations.

• Develop Buffer Strategies: Architect and implement buffer strategies tailored to different infrastructure types to ensure fleet resilience.

• Drive Continuous Improvement: Conduct rigorous variance analysis to address key gaps and drive ongoing improvements in overall plan quality.

• Publish Infrastructure Plans: Generate and publish high-quality demand plans broken down by specific infrastructure categories.

• Lead Demand Reviews: Own the demand review cadence and create the associated content necessary to facilitate cross-functional alignment on global plans.

You have:

• Quantitative Education: Bachelor’s degree in Mathematics, Statistics, Data Science, Finance, or an MBA/Master’s in Operations Research or a related technical field.

• Forecasting Expertise: 6+ years of experience in demand planning, forecasting, or complex modeling roles.

• Financial Acumen: Proven experience deriving strategic business recommendations through deep quantitative data analysis and modeling.

• Advanced Office Suite: Modeling-level proficiency in Excel or equivalent spreadsheet software.

• Programming Mastery: Proficiency in SQL (specifically BigQuery) and Python for data manipulation and analysis.

• Optimization Toolset: Hands-on experience with Google OR-Tools (CP-SAT solver), Gurobi, or similar mathematical optimization software.

We prefer:

• Visual Storytelling: Excellent communication and collaboration skills, with the ability to translate data into compelling narratives via PowerPoint or Google Slides.

• Anaplan Proficiency: Direct experience building and managing complex models within the Anaplan platform.

• EV Infrastructure Planning: Specific experience planning for electric vehicle (EV) fleet needs, such as charging stations, service centers, and parking logistics.