GDIA Mission and Scope:

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

The potential candidate should have hands-on experience applying OR methodologies and machine learning to solve complex business problems in Supply Chain, including sales, transportation, logistics, and inventory optimization. This role requires a solid analytical mindset, business acumen, and a passion for leveraging data and technical skills to drive business success.

Qualifications:

Master's or Ph.D. degree in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related engineering discipline (preferred)  Minimum of 3 years of hands-on experience applying operations research and machine learning techniques to solve real-world problems. Strong proficiency in Python programming, machine learning libraries and SQL  Experience working with cloud technologies, preferably Google Cloud Platform (GCP) Demonstrated expertise in statistics, machine learning, optimization, and simulation.  Comprehensive understanding of supply chain concepts, including forecasting, inventory planning, optimization, and logistics  Excellent communication skills, with the ability to explain complex concepts in simple, easy-to-understand terms.

Key Roles and Responsibilities of Position:

Apply operations research methodologies (e.g., linear programming, nonlinear programming, heuristics, and simulation) and machine learning to solve complex business problems in Ford's Customer Service Division, specifically focusing on optimizing parts sales and service operations. Develop and implement data-driven solutions for forecasting, inventory planning, optimization, and logistics. Work with cross-functional teams to understand business requirements and translate them into clearly defined analytical problems. Develop and deploy analytical models in cloud environment. Communicate findings and recommendations effectively to business stakeholders at all levels.