Data Scientist - Interactive Safety Visualizations and Reporting

General Motors

Northern (KY)

Hybrid

USD 129,000 - 198,000

Full time

4 days ago

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Benefits offered by this job

Medical, dental, vision

GM vehicle discounts

Total Rewards resources

Job summary

General Motors is seeking a Data Scientist to lead the development of interactive safety visualizations and automated reporting for the AV Safety Engineering Analytics team. You will own data products, collaborate with safety engineers, analysts, data engineers, and program leaders to translate safety information into clear, trusted visualization tools.

The role spans the full analytics lifecycle—from data modeling to production delivery of continuous up-time visualizations.

Qualifications

Bachelor’s degree in data science or related field.
5+ years in data science, analytics, or data visualization.
Strong Python and SQL programming.
Experience building interactive visualizations for large datasets.
Experience in data modeling and data pipelines.

Responsibilities

Design and develop interactive safety visualizations for stakeholders.
Build dashboards and analytical applications for technical and leadership audiences.
Develop data marts and analytical tables to support reporting.
Define and curate business logic for metric reporting and uptime.
Automate reporting with metrics definitions and data lineage.

Skills

Python

SQL

Data visualization

Analytics engineering

Data modeling

Data pipelines

Hourly updates

Statistical testing

Stakeholder collaboration

Education

Bachelor’s degree in data science

Tools

Visualization libraries

Version control

CI/CD

Job description

Job Description

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.

Salary

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

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.

Remote Location

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.

Travel Requirements

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

Relocation

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.

Accommodations

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 or call us at 1-800-865-7580. 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.