Sr Data Science Manager – AV Safety

General Motors; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in the automotive industry seeks a Sr Data Science Manager to lead a team focused on autonomous vehicle safety. The role involves developing performance KPIs, driving innovation, and fostering collaboration within the team. This remote position demands strong leadership, technical expertise, and a commitment to safety in autonomous driving.

Benefits

Company Vehicle Evaluation Program

Qualifications

• Expert in data science and statistical modeling.
• Experience in automotive, safety, or robotics industries.

Responsibilities

• Develop scalable AV performance measurement solutions.
• Lead and manage a team of data scientists.
• Collaborate with various AV development teams.

Skills

Leadership

Data Science

Statistical Modeling

Business Acumen

Strategic Thinking

Job description

Remote: This role is categorized as remote. 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.