Sr Data Science Manager – AV Safety
General MotorsAbout the role
Job Description
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 Sr Data Science Manager – AV Safety will lead a talented team of data scientists who will drive design, development, and deployment 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 automative, safety, and/or robotic industries. They will also bring in proven leadership skills to inspire innovation, cross-functional collaboration, and excellence across the team. In addition to being able to coach and mentor the team, this role also requires the candidate to have good business acumen, business consulting skills, strategic thinking, and planning skills.
As a leader with a strong technical background, you will lead a team of hands-on data science practitioners who are focused on scaling data science work and accelerating time-to-delivery in insights related to autonomous vehicle performance and safety measurement.
You have balance – you can strike the right chord of technical mastery, leadership and coaching, humbly elevating and advocating for your team – with an equilibrium of storytelling, showing influence and strategic focus for peers and leaders of supporting functions, enabling the team to launch innovative autonomous capabilities that customers trust and want.
What You’ll Do
Develop scalable autonomous vehicle performance measurement solutions to ensure safe and compliant on-road behavior
Raise the bar for on-road safety by continuously improving safety and autonomous vehicle measurement and developing a feedback loop for software improvements
Lead and manage a team of data scientists, providing guidance, coaching, and mentorship to ensure successful project delivery and professional growth
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
Foster a culture of collaboration, experimentation, continuous learning, and knowledge sharing within the data science team and broader community
Manage and allocate team resources effectively to support project needs and team growth
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Additional Job Description
Your Skills & Abilities (Required Qualifications)
7+ years of experience in Data Science in a corporate setting
Master’s Degree or Ph.D. in Data Science, Statistics, Computer Science, Analytics, Operations Research, Engineering, Economics, Applied Mathematics, Marketing, Physics, or other quantitative field
Strong expertise in statistical modeling, machine learning and/or deep learning techniques
Experience in safety, automotive, or robotics data science
Experience generating insights from multiple large-scale datasets
Proficiency SQL and/or Python
Experience with data visualization tools and techniques
Proven track record of managing data science projects from concept to implementation, delivering impactful business outcomes
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
Demonstrated ability to lead, mentor, develop, and evaluate high-pe
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