Data Scientist - Interactive Safety Visualizations and Reporting

Overview

Data Scientist for interactive safety visualizations and automated reporting supporting automated-vehicle safety decision-making in GM’s SAFE-ADS team.

What you'll do

• Design and develop interactive safety visualizations from aggregate trends to filtered subsets and individual records.
• Build and maintain dashboards and analytical applications for technical users and leadership audiences.
• Develop data marts, analytical tables, and other data products for scalable visualization and reporting.
• Define and curate business logic for metric reporting aggregations, uptime measures, benchmarks, comparisons, and dimensions.
• Create data-quality checks and monitoring processes to improve trust in published metrics.
• Automate reporting including 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.

What you'll need

• Requires a Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or related field.
• Requires 5+ years of relevant experience in data science, analytics engineering, data visualization, reporting, or related discipline.
• Requires strong programming experience with Python and SQL.
• Requires experience developing complex, interactive, Python-based visualizations or analytical applications for large-scale datasets and user bases.
• Requires experience designing data models, analytical tables, data marts, or data pipelines that support reporting and visualization.
• Requires practical understanding of uncertainty, statistical comparison, statistical inference, and statistical testing.

Details

• Work mode: Remote in the United States.
• Travel is required (exact amount not specified).