Lead Data Scientist, Launch Evaluation Quality

Waymo; San Francisco (CA); Hybrid; USD 238,000 - 302,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous benefits program

Job summary

Waymo, based in San Francisco, is seeking a skilled professional to lead methodologies for evaluating its autonomous driving technology. This hybrid role involves developing performance metrics, collaborating with product and engineering teams, and driving continuous improvement of evaluation methodologies. Ideal candidates possess a quantitative degree (PhD preferred) and have at least seven years of industry experience in data science. The position offers a competitive salary range of $238,000—$302,000 USD, along with equity incentives and a benefits program.

Qualifications

• Solid statistical background with expertise in applied statistical methods.
• Demonstrated knowledge of data analysis tools in Python, R, and/or SQL.

Responsibilities

• Lead development of KPIs for behavior evaluation solutions at Waymo.
• Collaborate with engineering teams to improve evaluation methodologies.
• Conduct analysis to address performance bottlenecks in evaluation.

Skills

Statistical methodology

Data analysis (Python, R, SQL)

Leadership and communication skills

Problem-solving in ambiguous environments

Education

Degree in a quantitative field

PhD in a quantitative field or 7+ years industry experience

Job description

Waymo, based in San Francisco, is seeking a skilled professional to lead methodologies for evaluating its autonomous driving technology. This hybrid role involves developing performance metrics, collaborating with product and engineering teams, and driving continuous improvement of evaluation methodologies. Ideal candidates possess a quantitative degree (PhD preferred) and have at least seven years of industry experience in data science. The position offers a competitive salary range of $238,000—$302,000 USD, along with equity incentives and a benefits program.