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Data Scientist - AV Safety

AT General Motors
General Motors

Data Scientist - AV Safety

Remote

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.

The Role

The Data Scientist - AV Safety will drive development and evaluation 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.

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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 be a self-starter and comfortable solving ambiguous problems.

As a member of the SAFE-ADS data science team, you will focus on scaling data science work and accelerating time-to-delivery in insights related to autonomous vehicle performance and safety measurement. You will be part of a team focused on raising the bar for on-road safety.

What You'll Do

  • Develop scalable autonomous vehicle performance measurement solutions to ensure safe and compliant on-road behavior
  • Conduct statistical analysis to evaluate autonomous driving software
  • Raise the bar for on-road safety by continuously improving safety and autonomous vehicle measurement and developing a feedback loop for software improvements
  • 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

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Additional Description

Your Skills & Abilities (Required Qualifications)

  • 2+ years of Data Science experience
  • Bachelor's degree in Data Science, Statistics, Computer Science, Analytics, Operations Research, Engineering, Economics, Applied Mathematics, Marketing, Physics, or other quantitative field
  • Expertise in statistical modeling, machine learning and/or deep learning techniques
  • Experience generating insights from multiple large scale datasets
  • Interest in safety, automotive, or robotics data science
  • Proficiency SQL and/or Python
  • Experience with data visualization tools and techniques
  • 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)

  • 3+ years of Data Science experience
  • 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

Compensation:

  • The expected base compensation for this role is $101,500 - $162,100 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.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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 (U.S. and Canada)

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job ID: General_Motors-JR-202508957
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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