Data Scientist – Interactive Safety Visualizations, Reporting

General Motors

Data Scientist building interactive visualizations and reporting for General Motors’ autonomous-driving safety systems. Developing trusted dashboards, data products, and statistical analytics for rapid safety decisions.

Posted 9/3/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $129,400 - $198,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data visualization, statistical analysis, and data modeling, with a strong focus on developing interactive applications and dashboards for technical users. Proficient in Python and SQL, with a solid understanding of data quality and performance optimization.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Visualization DevelopmentStatistical AnalysisData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAnalytics EngineeringData Quality ChecksData Mart DevelopmentAnalytical ApplicationsStatistical TestingData Pipeline DesignMetric ReportingData PreparationAutomated Reporting

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

Visualization LibrariesAnalytical Tools

Industry Keywords

Data VisualizationPerformance MetricsService-Level ObjectivesStatistical InferenceContinuous Improvement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and develop interactive safety visualizations moving from aggregate performance trends to filtered subsets, individual records, and supporting data points
Build and maintain dashboards and analytical applications for technical users and leadership audiences
Develop data marts, analytical tables, and other data products supporting 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
Optimize data preparation, modeling, and application workflows for hourly or intra-day refreshes and reliable service-level performance
Automate reporting covering metric definitions, data sources, data lineage, quality status, statistical context, and continuous-improvement progression
Apply statistical methods to characterize uncertainty, compare performance, interpret variation, and conduct statistical tests
Partner with safety engineers, analysts, data engineers, program teams, leaders, and technical stakeholders
Translate analytical needs into requirements and fit-for-purpose tools
Communicate complex analytical results in visual and written formats
Establish reusable visualization, data-modeling, testing, and documentation patterns
Support automated-driving safety decision-making and continuous system improvement

Requirements

What you’ll need

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
Experience with 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 supporting 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
Must not require GM immigration sponsorship now or in the future
Willingness to travel under 25%

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Remote work arrangement
Travel required under 25%
No relocation benefits