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. Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
The lead data science statistician av safety data analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (av) performance safety metrics 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. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
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 and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system. As a technical leader in the safe-ads data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ads behavioral performance and validation. This role involves working with large-scale data generated by the ads system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's av quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire av technology stack.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
The expected base compensation for this role is $160,200-$245,400 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 company performance, job level, and individual performance.
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, health savings account, flexible spending accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Our vision is a world with zero crashes, zero emissions and zero congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
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