Job Description:
The Global Data, Insight & Analytics (GDIA) organization is 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 (GCP).
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 GCP 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.
Skills Required:
Machine Learning, Data Science.
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., GCP).
Strong proficiency in Python for analytical workflows
Skills Preferred:
This role contributes to high-impact analytical engines that influence product and marketing strategy decisions across North American vehicle programs. The position requires a balance of quantitative rigor, practical implementation, and forward-looking application of artificial intelligence.
Experience Required:
Specialist Exp: 5+ experience in relevant field
Experience Preferred:
PhD in a quantitative discipline.
Experience deploying machine learning or advanced analytics models into production systems.
Familiarity with AI-assisted analytics approaches (e.g., scenario exploration, search space optimization).
Experience in Agile or product-driven environments.
Hands-on experience with Google Cloud Platform.
Strong interpersonal and communication skills with the ability to simplify complex topics for leadership audiences.
Education Required:
Master's Degree
Education Preferred:
Master's degree or higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field
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