Data Scientist

Stefanini Group • Dearborn, MI

14h • Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for a Data Scientist, Dearborn, MI (Onsite) For quick apply, please reach out Navneet Pathak at 248-213-3677/[email protected] We are seeking a Data Scientist to develop advanced analytics products that drive vehicle content strategy decisions. This role 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). 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.

Requirements

• 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., GCP).
• Strong proficiency in Python for analytical workflows.
• Ability to communicate complex analytical concepts to business and product stakeholders.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level