Team Leader guiding Remote’s global SRE platform for compliant international employment. Leading engineers and reliability across Kubernetes, AWS, observability, and infrastructure.
GM
Senior Data Scientist – Vehicle Reliability Engineering
Posted 6 days ago
About the role
- Senior Data Scientist developing anomaly detection, dashboards, and alerts for General Motors vehicle reliability. Supporting engineering, quality, warranty, and software teams with production analytics.
Responsibilities
- Partner with subject matter experts to define metrics, analytical objectives, thresholds, and decision criteria.
- Analyze vehicle, software, warranty, diagnostic, fleet, and product-quality data to identify trends, anomalies, relationships, and emerging risks.
- Design, test, and deploy anomaly-detection and pre-emptive-monitoring algorithms.
- Build end-to-end analytical pipelines that transform raw data into insights, dashboards, alerts, and operational workflows.
- Create customer-focused visualizations for engineering and quality teams to investigate fleet, VIN, and software-version issues.
- Develop alerting solutions for high-priority vehicle and product issues.
- Establish validation approaches using historical data, controlled testing, domain expertise, and real-world observations where appropriate.
- Communicate findings, assumptions, limitations, and recommendations to technical and non-technical audiences.
- Improve model, query, pipeline, and architecture performance, scalability, reliability, and cost efficiency.
- Standardize analytical processes and adopt modern Azure-based technologies.
- Support vehicle and software launches with readiness insights and analytical tools.
- Document analytical methods, data lineage, operating procedures, and known limitations.
- Contribute reusable patterns and best practices and mentor others.
- Deliver critical analytics features, pre-emptive monitors, trusted dashboards, and alerts for engineering, quality, warranty, and launch teams.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Significant experience applying statistical analysis, machine learning, anomaly detection, forecasting, classification, or related data-science methods to real-world business or engineering problems.
- Strong Python skills for data analysis, algorithm development, automation, and production-oriented data workflows.
- Experience querying, transforming, validating, and analyzing large and complex datasets using SQL and modern data technologies.
- Demonstrated ability to take an analytical solution from problem definition through testing, deployment, monitoring, and continuous improvement.
- Experience communicating analytical results and recommendations to stakeholders with different levels of technical expertise.
- Strong data-quality mindset, including the ability to investigate discrepancies, assess assumptions, and explain limitations.
- Demonstrated ownership, sound judgment, responsiveness, and ability to deliver work to completion in a cross-functional environment.
- GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future.
- Preferred: Experience with Databricks, data pipelines, workflow orchestration, or comparable cloud technologies.
- Preferred: Experience building operational dashboards, alerting tools, or decision-support products.
- Preferred: Experience with vehicle, telematics, diagnostic, warranty, and software-version data.
- Preferred: Experience with time-series data, event data, fleet-level analysis, VIN-level investigation, or software-quality monitoring.
- Preferred: Experience with Git-based workflows, CI/CD, or Databricks Asset Bundles.
- Preferred: Familiarity with data modeling, data lineage, reusable analytical patterns, and scalable solution design.
- Preferred: Experience evaluating AI/ML methods for detection quality, false positives, and operational burden.
- Preferred: Experience mentoring peers, sharing technical best practices, or leading work across organizational boundaries.
Benefits
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan.
- GM Vehicle Purchase Plan for you, your family, and friends.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AWS and DevOps Engineer establishing secure, automated environments for a bilingual nonprofit digital platform. Managing deployment, monitoring, recovery, and operational handover.
Senior Site Reliability Engineer securing AuthZed’s cloud infrastructure and authorization platform, including SpiceDB. Building Kubernetes guardrails, supply - chain security, vulnerability management, and incident response.
Principal SRE leading Cerence’s Site Reliability Engineering function for cloud - native automotive AI systems. Owning reliability strategy, incident escalation, observability, automation, and SLO governance.
DevOps Specialist scaling AWS infrastructure and automating deployments for Portage CyberTech’s digital trust, identity, privacy, and security solutions. Maintaining reliable cloud environments and CI/CD pipelines.
Principal DevOps Engineer architecting NBCUniversal’s Kubernetes - native platform for broadcast production. Leading Go, AWS, Crossplane, GitOps, networking, security, and observability engineering.
SRE Manager leading platform engineering teams across reliability and developer experience. Improving Lightspeed’s global cloud commerce SaaS platform through scalable infrastructure and automation.
SRE Manager leading platform engineering, reliability, and Developer Experience for Lightspeed’s global cloud POS SaaS platform. Guiding teams, infrastructure automation, and strategic delivery.
Gestionnaire SRE dirigeant deux équipes de plateforme chez Lightspeed. Assurant la fiabilité et l’automatisation de sa plateforme SaaS mondiale de commerce infonuagique.
DevOps Engineer managing AWS, Kubernetes, CI/CD, and observability for StellarTech’s scalable global EdTech products. Improving reliability, security, and production operations across multiple products.