Data Scientist — Production Planning & Demand Forecasting

Ford Motor Company; Dearborn (MI); Hybrid; USD 68,000 - 193,000; Full time

Benefits offered by this job

Vehicle discount

Management leases

Tuition assistance

Paid time off

Paid holidays

Parental leave

Back-up child care

Job summary

Ford Motor Company’s Order Fulfillment Technology team seeks a Data Scientist to design and deliver production-grade solutions powering our global supply-demand matching systems. This is a cross-disciplinary role sitting at the intersection of Data Science and Software Engineering, delivering end-to-end data products that influence strategic direction.

The role requires 3+ years of Python/SQL/ML experience, collaboration with software engineers to move models into production, and strong

Qualifications

• 3+ years of hands-on experience with Python, SQL, and ML/Optimization techniques.
• Collaborate with software engineering teams to move models into production.
• Translate business problems into analytical formulations and interpret results.

Responsibilities

• Demand Forecasting & Predictive Modeling for supply-demand matching.
• Cross-functional collaboration to deliver analytics software.
• Full lifecycle ownership from data sourcing to deployment.
• MLOps, reliability, monitoring and data-drift checks.
• Visualization to communicate market trends and supply constraints.
• Stay updated on latest data science and analytics tools.

Skills

Python

SQL

Machine Learning

Optimization

Education

Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related technical field

Job description

Ford Motor Company’s Order Fulfillment Technology team seeks a Data Scientist to design and deliver production-grade solutions powering our global supply-demand matching systems. This is a cross-disciplinary role sitting at the intersection of Data Science and Software Engineering, delivering end-to-end data products that influence strategic direction.

The role requires 3+ years of Python/SQL/ML experience, collaboration with software engineers to move models into production, and strong