Data Scientist – Interactive Safety Visualizations, Reporting

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and develop interactive safety visualizations that transition from aggregate performance trends to filtered subsets, individual records, and relevant data points.

• Construct and sustain dashboards and analytical applications tailored for both technical users and leadership audiences.

• Produce data marts, analytical tables, and various data products that facilitate scalable visualization and reporting.

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

• Create data-quality checks, assertions, and monitoring processes.

• Enhance data preparation, modeling, and application workflows for hourly or intra-day refreshes, ensuring reliable service-level performance.

• Automate reporting processes that encompass metric definitions, data sources, data lineage, quality status, statistical context, and ongoing improvement tracking.

• Utilize statistical methods to assess uncertainty, compare performance, interpret variations, and conduct statistical tests.

• Collaborate with safety engineers, analysts, data engineers, program teams, leaders, and technical stakeholders.

• Convert analytical requirements into tangible needs and suitable tools.

• Convey intricate analytical findings through both visual and written formats.

• Establish reusable patterns for visualization, data modeling, testing, and documentation.

• Aid in automated driving safety decision-making and the continuous enhancement of systems.

⛳️ Requirements

• Bachelor's degree in data science, statistics, mathematics, computer science, engineering, or a related field.

• Over 5 years of pertinent experience in data science, analytics engineering, data visualization, reporting, or a comparable discipline.

• Proficient programming skills in Python and SQL.

• Experience with Python-based applications.

• Background in developing intricate, interactive, Python-based visualizations or analytical applications using modern visualization libraries for extensive datasets and user groups.

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

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

• Ability to translate vague stakeholder requirements into precise analytical needs and usable data products.

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

• Must not require GM immigration sponsorship presently or in the future.

• Willingness to travel up to 25%.

🏝️ Benefits

• Incentive pay program with payouts determined by company performance, job level, and individual contributions.

• 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 up to 25%.

• No relocation benefits.