Optimize vehicle reliability as a Senior Data Scientist at General Motors in Markham, Ontario. This hybrid role requires developing data solutions that unveil software and product-quality issues proactively. As a Senior Data Scientist, your focus will be on translating complex operational questions into meaningful metrics and reliable analytics.

Work closely with engineering, software, and product teams to design algorithms that enhance vehicle reliability and streamline operational processes through data visualization. Key Responsibilities:

- Collaborate to define meaningful metrics and objectives
- Conduct detailed analysis to identify product-related risks
- Design end-to-end analytical pipelines for data insights
- Create alerting solutions for immediate issue response
- Improve models and data processes for efficiency Requirements:
- Bachelor’s degree in a quantitative field
- Proven experience in machine learning and data analytics
- Expertise in Python and SQL
- Transparent communication of analytical findings to stakeholders
- Experience in cross-functional team environments Enhance vehicle reliability and product quality at General Motors through data-driven methodologies and analytics.

📌 Hybrid Senior Data Scientist - GM Quality Engineering (Markham)
🏢 General Motors
📍 Markham