PhD Data Science Intern: Safety & Simulation Impact

Waymo; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, vision insurance

Free meals on site

Job summary

Waymo is seeking a Data Science intern to analyze large-scale on-road and simulation data, build statistical models, and contribute to driving quality assessments. The role involves developing ML methods and creating repeatable data pipelines in collaboration with engineering teams.

Candidates are pursuing a PhD in a quantitative field, with strong Python or R skills, and a solid foundation in statistics. The position is hybrid onsite in Mountain View, CA, with intern benefits and a competitive

Qualifications

• Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science)
• Proficiency in Python or R, including data manipulation, wrangling, and visualization
• Strong statistical theory foundation

Responsibilities

• Analyze large-scale on-road and simulation data to build metrics and predictive features for safety and driving quality
• Develop and validate statistical / ML methodology for large-scale models and rare events
• Build tools and pipelines to turn analyses into repeatable workflows with engineering teams

Skills

Python

R

Statistics

Data manipulation

Visualization

Education

Pursuing PhD in a quantitative field

Tools

SQL

C/C++

Machine Learning

Job description

Waymo is seeking a Data Science intern to analyze large-scale on-road and simulation data, build statistical models, and contribute to driving quality assessments. The role involves developing ML methods and creating repeatable data pipelines in collaboration with engineering teams.

Candidates are pursuing a PhD in a quantitative field, with strong Python or R skills, and a solid foundation in statistics. The position is hybrid onsite in Mountain View, CA, with intern benefits and a competitive