Senior BI & Analytics Lead - Autonomous Driving Data

Waymo; California (MO); Hybrid; USD 168,000 - 207,000; Full time

Benefits offered by this job

Annual bonus

Job summary

Waymo is seeking a senior Product Data Scientist to mine and analyze data across large-scale sources, shaping product decisions for the Waymo Driver. You will collaborate with Product, Engineering, and Operations to define metrics, build pipelines, and create reports that drive insights for release planning and safety validation.

You will partner with cross-functional teams, develop scalable data solutions, and contribute to a culture of excellence in data science within a hybrid work

Qualifications

• 5+ years of experience in a related technical field or equivalent practical experience.
• Ability to scope, structure, and solve ambiguous problems from end to end by creating clear analysis plans.
• Strong data intuition and statistical knowledge to translate signals into insights.
• Coding experience with SQL to design and implement data pipelines.
• Strong attention to detail.

Responsibilities

• Mine, triage, and analyze data from large-scale sources to extract insights for driving product decisions.
• Partner with Product Managers and Engineers to identify right measurements for product performance.
• Design and implement foundational data pipelines and build reports and visualizations.
• Develop understanding of metrics and data sources related to self-driving vehicle releases and the roadmap.
• Contribute to signals and heuristics capturing driving behaviors and scenarios.
• Help establish best practices within the data science team.

Skills

SQL

Data analysis

Statistics

Stakeholder management

Data pipelines

Tools

Python

Airflow

Looker

Job description

Waymo is seeking a senior Product Data Scientist to mine and analyze data across large-scale sources, shaping product decisions for the Waymo Driver. You will collaborate with Product, Engineering, and Operations to define metrics, build pipelines, and create reports that drive insights for release planning and safety validation.

You will partner with cross-functional teams, develop scalable data solutions, and contribute to a culture of excellence in data science within a hybrid work