In this hybrid role, you will report to the Director, Product Data Science.
You will:- Work with cross functional teams to make long-term decisions related to vehicle allocation, capital investment, and long-term growth planning.
- Develop forecasting models that measure the impact of long-term investments on key business metrics.
- Build optimization models to choose the allocation of vehicles and infrastructure across markets.
- Conduct deep dive analysis to identify areas for future improvement.
You have:- At least 3 years of industry experience.
- Coding skills (Python & SQL).
- Strong communication and stakeholder & management skills.
- ML, causal inference, and optimization algorithm experience.
- Experience working with the product management and engineering teams.
- Proficiency in data pipeline development.
We prefer:- Experience with causal inference, optimization, and/or forecasting.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
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.
Salary Range
$196,000-$242,000 USD
