Lead Data Scientist Statistician - AV Safety Data Analysis (GPSSC)

Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..
Work Arrangement
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.
Company Vehicle: 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 Role
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used in the 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 driving 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 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 of 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, as well as foundational components of the overall safety case which guides decision-making and drives engineering across the entire AV technology stack.
What You'll Do (Responsibilities)

• Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework

• Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results

• Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance

• Assess bias estimation and subsampling strategies used by system engineering

• Support Data Engineering and Software & Services (S&S) in the development of automate pipelines and tooling within the measurement and risk framework

• Conduct statistical analysis to evaluate ADS driving software aggregate and sub-aggregate measures
• Design and demonstrate driving context and scenario based factor inclusion in analyses

• Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements

• Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations

• Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate
Your Skills & Abilities (Required Qualifications)

• M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
• 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
• Demonstrated experience applying statistical methods to physics-based (e.g. automotive) and advanced sensing systems

• Expertise in statistical modeling, machine learning and/or deep learning techniques

• Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods

• Expertise generating insights from multiple large-scale datasets

• Proficiency in SQL and Python

• 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)

• PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
• Experience in safety, automotive, or robotics data science is preferred

Compensation:

• 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

Benefits:
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.
About GM
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.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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