Senior Data Scientist, Safety Evaluation

March 20

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Waymo

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Waymo is an autonomous driving technology company creating a new way forward in mobility.

1001 - 5000

💰 $2.5G Private Equity Round on 2021-06

Description

• Develop safety evaluation frameworks that are critical to ML model improvements • Design and implement robust data analysis pipelines and validation frameworks • Develop and apply statistical methods and ML models to analyze historical/simulation data and assess safety performance • Collaborate with cross-functional teams like Simulation and Planning to ensure comprehensive safety evaluation across the autonomous driving system.

Requirements

• PhD in a quantitative field (IE Statistics, Mathematics, Physics) • 3+ years of industry experience solving large-scale complex problems • Proven expertise using advanced statistical methods (e.g., ML models, hypothesis testing, causal analysis) • Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges) • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages • Ability to take ambiguous and complex business requirements and propose a technical solution • Experience solving problems related to Autonomous Driving • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction • Hands-on experience with Google infra tools like PLX, Borg, GCL, etc

Benefits

• Health and wellness: Top-notch medical, dental and vision insurance, mental wellness support, Flexible Spending Account (FSA), Health Saving Account (HSA) and special wellness programs • Financial wellness: Competitive compensation, bonus opportunities, equity, generous 401(k) plan, 1-on-1 financial coaching, 529 College Savings Plan, perks and employee discounts • Flexibility and time off: Work from another location for four weeks per year, on-site or hybrid work model, remote working opportunities, paid time off, bereavement, sick, and parental leave • Supporting families: Enhanced leave options, paid parental leave, subsidized backup childcare or adult/elder care, fertility care or adoption support • Community and personal development: Education reimbursement, personal and professional development, mentorship, Employee Resource Groups (ERGs), time off to volunteer • Cool perks: Access to Google offices, cafes, wellness centers, massages, at-home fitness and cooking classes