Sr. Data Scientist – AV Safety

Employment Type

Full time

Remote

• This role is categorized as remote.
• This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

The Role

The Sr Data Scientist – AV Safety will drive development and evaluation of autonomous vehicle (AV) performance KPIs ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM’s vision is zero crashes, zero emissions, and zero congestion – AV safety is at the heart of driving forward this vision.

The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automotive, safety, and/or robotic industries. They will be a self-starter and comfortable solving ambiguous problems.

As a member of the SAFE-ADS data science team, you will focus on scaling data science work and accelerating time-to-delivery in insights related to autonomous vehicle performance and safety measurement. You'll play a key role in advancing GM's AV quantitative risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework, a foundational component of the overall safety case that guides decision-making across the entire AV technology stack.

What You’ll Do (Responsibilities)

• Develop and implement scalable autonomous vehicle performance measurement solutions to ensure safe and compliant on-road behavior
• Develop and standardize best practices of safety risk assessment across the company
• Develop and automate pipelines and tooling of the risk assessment framework
• Conduct statistical analysis to evaluate autonomous driving software
• Raise the bar for on-road safety by continuously improving safety and autonomous vehicle measurement and developing a feedback loop for software improvements
• Collaborate across various autonomous vehicle development teams, including GPSSC and Software & Services organizations
• Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team

Note: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in engineering or science discipline (advanced degree preferred) with a strong focus on statistics, probability, and Data Science
• 5+ years of experience in Data Science in a corporate setting
• Expertise in statistical modeling, machine learning and/or deep learning techniques
• Expertise generating insights from multiple large-scale datasets
• Experience in safety, automotive, or robotics data science
• Proficiency in SQL, Python, and Spark
• Experience with data visualization tools and techniques
• Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
• Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master or PhD Degree in Engineering or Science discipline (advanced degree preferred) with a strong focus on statistics, probability, and Data Science
• Experience in self-driving vehicle safety metrics end-to-end pipeline development
• Proficiency in C++

Compensation

The expected base compensation for this role is $130,800 - $200,400 USD Annually. Actual base compensation within the identified range will vary based on factors relevant to the position.

Bonus Potential

An incentive pay program offers payouts based on