Data Scientist - Remote

About The Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, dedicated to shaping the future of mobility. With a rich history of engineering excellence and a forward-thinking approach, GM is committed to creating safer, smarter, and more sustainable transportation solutions. Our vision encompasses zero crashes, zero emissions, and zero congestion, reflecting our dedication to safety, environmental responsibility, and technological advancement. GM's diverse portfolio includes electric vehicles, autonomous driving systems, and connected mobility services, all aimed at delivering exceptional value to customers worldwide. Our collaborative and inclusive culture fosters innovation, diversity, and continuous learning, empowering our employees to drive meaningful change in the automotive industry.

About The Role

We are seeking a highly skilled Data Scientist to join the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department at GM. In this role, you will be instrumental in developing advanced data analytics and visualization tools that support the safety and performance assessment of autonomous driving systems. You will lead the creation of interactive safety dashboards and automated reporting solutions that enable stakeholders across technical and leadership levels to interpret complex safety data effectively. Your work will directly contribute to GM’s mission of delivering trustworthy automated-driving products by providing insights that enhance system safety, reliability, and continuous improvement. This position offers an exciting opportunity to work at the intersection of data science, automotive safety, and cutting-edge technology, shaping the future of autonomous mobility on a global scale.

Qualifications

• Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a related field
• 5+ years of relevant experience in data science, analytics engineering, data visualization, or reporting
• Proficiency in Python and SQL programming languages, with experience in Python-based applications
• Experience developing complex, interactive visualizations and analytical applications using contemporary libraries
• Strong background in designing data models, analytical tables, data marts, and data pipelines
• Experience supporting hourly or intra-day data refreshes and ensuring application performance
• Ability to translate ambiguous stakeholder needs into clear analytical requirements and data products
• Practical understanding of statistical methods, including uncertainty, inference, comparison, and testing
• Proactive problem-solving skills and a continuous learning mindset

Responsibilities

• Design and develop interactive safety visualizations that enable users to analyze performance trends and drill down into detailed data
• Build and maintain dashboards and analytical applications that serve technical teams and executive leadership
• Create data marts, analytical tables, and other data products to support scalable visualization and reporting
• Define and implement business logic for metric aggregation, uptime measures, benchmarks, and supporting dimensions
• Develop and monitor data quality checks, assertions, and processes to ensure trustworthiness of published metrics
• Optimize data workflows for hourly or intra-day refreshes, ensuring reliable service-level performance
• Automate reporting processes that include metric definitions, data lineage, quality status, and statistical context
• Apply statistical techniques to characterize uncertainty, interpret variations, and perform performance comparisons
• Collaborate with safety engineers and technical stakeholders to understand analytical needs and deliver appropriate tools
• Communicate complex analytical insights through clear visual and written formats for diverse audiences
• Establish reusable patterns for visualization, data modeling, testing, and documentation to improve efficiency and consistency

Benefits

• Comprehensive medical, dental, and vision insurance plans
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Retirement savings plans with company contributions
• Paid vacation, holidays, and sick leave
• Tuition assistance and professional development programs
• Employee assistance programs and wellness initiatives
• GM vehicle discounts and other exclusive perks
• Remote work flexibility and supportive work environment

Equal Opportunity

General Motors is committed to fostering an inclusive and diverse workplace where all employees are valued and respected. We provide equal employment opportunities regardless of sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that a diverse workforce enhances innovation and drives better business outcomes. GM offers reasonable accommodations to qualified individuals with disabilities throughout the hiring process and employment. We encourage all qualified candidates to apply and join us in leading positive change within the automotive industry.