Hybrid Data Scientist – Production Planning & Forecasting

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

Benefits offered by this job

Medical, Dental, Vision coverage

Flexible family care days

Paid parental leave

Tuition assistance

Vehicle discount program for employees

Paid time off

Job summary

Ford Motor Company is seeking a Data Scientist to design, develop, and deploy production-scale analytics that power global supply-demand matching. You will work at the intersection of Data Science and Software Engineering to translate business problems into scalable data products and actionable insights.

The role emphasizes high-accuracy demand forecasting, collaboration with software engineers and product owners, and ownership of end-to-end analytics from data sourcing to deployment.

Qualifications

• Bachelor's degree in a technical field.
• 3+ years hands-on experience with Python, SQL, and ML/Optimization techniques.
• Collaborate with software teams to move models into production.
• Communicate complex analytics clearly to non-technical partners.

Responsibilities

• Forecasting demand and building predictive models for supply-demand matching.
• Partner with cross-functional teams to deliver analytics software and socialise results.
• Own end-to-end development from data sourcing to deployment.
• Build ML pipelines with MLOps, monitoring data drift and model health.
• Create visualizations to explain market trends and 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 field

Job description

Ford Motor Company is seeking a Data Scientist to design, develop, and deploy production-scale analytics that power global supply-demand matching. You will work at the intersection of Data Science and Software Engineering to translate business problems into scalable data products and actionable insights.

The role emphasizes high-accuracy demand forecasting, collaboration with software engineers and product owners, and ownership of end-to-end analytics from data sourcing to deployment.