Data Scientist - Interactive Safety Visualizations and Reporting

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM’s Global Product Safety, System, and Certification organization. Our mission is to help GM deliver trustworthy automated-driving products.

As the central authority for automated-driving system safety, the department brings together experts from across the company to develop and maintain a comprehensive safety case, including safety performance indicators for GM’s automated-driving technologies. GM’s vision is zero crashes, zero emissions, and zero congestion, and autonomous vehicle safety is essential to achieving that vision.

The Role

The AV Safety Engineering Analytics team within SAFE-ADS provides data and analytics capabilities that support automated-vehicle safety decision-making. The team integrates continuously flowing data from vehicle systems, company databases, third-party services, federal agencies, and state departments of transportation to inform system design, quantify driving performance, support continuous uptime analyses, and investigate specific safety questions.

This Data Scientist will lead the development of interactive safety visualizations and automated reporting that facilitate interpretation by stakeholders at all levels of the organization, leading to and rapid decision making and continuous automated driving system improvement. This role will own the data products and visualization experiences that enable users to drill-down from large-scale aggregate trends to filtered subsets, individual records, and supporting data.

The successful candidate will partner with safety engineers, analysts, data engineers, program teams, and leaders to translate complex safety information into clear, performant, and trusted communication tools. The role spans the full analytics lifecycle, from stakeholder discovery and data modeling to user-experience design, statistical interpretation, and production delivery of continuous up-time interactive visualizations.

What You’ll Do

• Design and develop interactive safety visualizations that allow users to move from aggregate performance trends to filtered subsets, individual records, and supporting data points.

• Build and maintain dashboards and analytical applications that provide clear, intuitive experiences for technical users and leadership audiences.

• Develop data marts, analytical tables, and other data products that support scalable visualization and reporting.

• Define, implement, and curate business logic for metric reporting aggregations, uptime measures, benchmarks, comparisons, and supporting dimensions.

• Develop data-quality checks, assertions, and monitoring processes that improve trust in published metrics and identify issues before they affect reporting.

• Optimize data preparation, modeling, and application workflows to support hourly or intra-day refresh expectations and reliable service-level performance.

• Automate reporting that presents metric definitions, data sources, data lineage, quality status, statistical context, and continuous-improvement progression.

• Apply practical statistical methods to visually characterize uncertainty, compare performance, interpret variation, and conduct appropriate statistical tests.

• Partner with safety engineers and technical stakeholders to understand analytical needs, clarify requirements, and deliver fit-for-purpose tools.

• Communicate complex analytical results in clear visual and written formats appropriate for both technical stakeholders and leaders.

• Establish reusable visualization, data-modeling, testing, and documentation patterns that improve consistency and reduce recurring manual effort.

Your Skills & Abilities (Required 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, reporting, or a related discipline.

• Strong programming experience with Python and SQL, with experience in python based applications

• Experience developing complex, interactive, Python-based visualizations or analytical applications using contemporary visualization libraries, for large-scale datasets and user bases.

• Experience designing data models, analytical tables, data marts, or data pipelines that support reporting and visualization.

• Experience supporting hourly or intra-day data refreshes, application performance, and service-level objectives.

• Experience translating ambiguous stakeholder needs into clear analytical requirements and usable data products.

• Practical understanding of uncertainty, statistical comparison, statistical inference, and statistical testing.

• Strong problem-solving mindset and a proactive attitude toward learning and self-improvement.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience with dashboard UI/UX design

• Experience implementing automated data-quality and completeness checks, metric validation, and/or data lineage.

• Experience working with automotive, transportation, mobility, fleet, robotics, or other operationally complex, time series datasets.

• Experience analyzing safety, reliability, availability, performance, human factors, or risk-related metrics.

• Experience with software development practices such as version control, automated testing, code review, continuous integration, and deployment.

• Experience designing dashboards for different audiences, including technical practitioners and executive decision-makers.

• Ability to build trusted relationships with technical stakeholders and influence decisions without direct authority.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is $129,400 - 198,400. The actual base salary a successful candidate will be offered within this 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:

• 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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.

The selected candidate will be required to travel <25% for this role.

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

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.

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.

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