Lead Data Scientist - Autonomous Goal Management
HumanaFull Time
Expert & Leadership (9+ years)
United States
Key technologies and capabilities for this role
Common questions about this position
Yes, this role is categorized as remote, allowing the successful candidate to be based anywhere in the United States without expected reporting to a GM worksite unless directed by their manager.
The role requires expertise in data science, statistical modeling, and data development, along with experience in automotive, safety, or robotic industries, and the ability to integrate physics and engineering principles. Ideal candidates are self-starters comfortable solving ambiguous problems and passionate about creating insights for safety improvements.
This information is not specified in the job description.
The role is part of the SAFE-ADS department in the GPSSC organization, focused on AV safety assurance with a vision of zero crashes, zero emissions, and zero congestion. It emphasizes solving complex data science challenges, driving safety improvements, and collaborating with senior leaders on statistical guidance.
A strong candidate is an expert in data science and statistical modeling with industry experience in automotive, safety, or robotics, skilled at integrating physics and engineering, and able to lead by providing robust statistical guidance to senior leaders while solving ambiguous problems.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.