Senior Data Scientist - Vehicle Reliability Engineering
Core
Develop and operationalize data science solutions to identify emerging vehicle, software, and product-quality issues before they become customer or launch risks.
Role type
Senior IC data scientist (vehicle reliability & quality)
Builds
Production-ready data products, dashboards, alerting workflows, and anomaly-detection algorithms
Domain
Automotive industry, vehicle reliability, software quality, warranty analytics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
statistical analysis, machine learning, anomaly detection, forecasting, classification, Python, SQL, end-to-end solution lifecycle management, data quality assessment
Preferred skills
Databricks, workflow orchestration, time-series analysis, event data analysis, VIN-level investigation, CI/CD, data lineage, mentoring
Technologies
Python, SQL, Azure, Databricks, Git
Responsibilities
Define metrics and decision criteria with subject matter experts; design and deploy anomaly-detection algorithms; build end-to-end analytical pipelines; create visualizations for fleet and software-version investigation; develop alerting solutions; document analytical methods and data lineage; mentor peers and share best practices
Seniority
Senior, hands-on IC
