Top Requirements:
1. Master Degree or Higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field.
2. 2+ years of experience in advanced analytics, including machine learning, mathematical optimization, statistical modeling, econometrics or AI
3. 1+ years of experience working with large datasets in cloud based environments (Google Cloud Platform)
4. Strong proficiency in Python for analytical workflows
5. Experience deploying machine learning or advanced analytics models into production systems, and familiarity with AI-assisted analytics approaches preferred
About the Role
We are seeking a Data Scientist to develop advanced analytics products that drive vehicle content strategy decisions. This role sits within the Marketing Analytics team and focuses on applying machine learning, artificial intelligence, statistical modeling, and mathematical optimization to high-impact business problems.
The Data Scientist will design, develop, and deploy analytical solutions that support strategic decision-making across North American vehicle programs. This role requires strong quantitative expertise, advanced Python skills, and experience working in cloud-based data environments, particularly Google Cloud Platform (Google Cloud Platform).
Key Responsibilities
- Develop and implement machine learning, statistical, and optimization models to support vehicle content strategy.
- Write high-quality, production-ready Python code for modeling, experimentation, and data analysis.
- Query, manage, and analyze large-scale datasets using Google Cloud Platform tools such as BigQuery.
- Partner with Software Engineers to deploy analytics models into production environments aligned with enterprise data architecture and MLOps standards.
- Conduct model validation, performance monitoring, and sensitivity analysis to ensure reliability and business relevance.
- Translate complex analytical outputs into clear, actionable insights for Marketing and product stakeholders.
- Research and apply emerging AI, econometrics, and optimization methodologies to enhance decision systems.
Requirements
Required Qualifications
- Master s degree or higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field.
- 2+ years of experience in advanced analytics, including machine learning, mathematical optimization, statistical modeling, econometrics, or AI.
- 1+ year of experience working with large datasets in cloud-based environments (e.g., Google Cloud Platform).
- Strong proficiency in Python for analytical workflows.
- Ability to communicate complex analytical concepts to business and product stakeholders.
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