Data Scientist, Production Planning

Ford Motor Company

. Design and deliver production-grade solutions for global supply-demand matching systems .

Posted 9/18/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $68,300 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing predictive modeling algorithms and demand forecasting techniques, with a strong focus on collaboration with software engineering teams to deliver production-grade solutions. Proficient in monitoring and improving model performance while effectively communicating analytical insights to non-technical stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyMachine Learning TechniquesDemand Forecasting ExperienceCloud Deployment (GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingTime-Series AnalysisCausal InferenceOptimization TechniquesStatistical MethodsModel DeploymentData Drift MonitoringBias DetectionRobustness ChecksVisualization Techniques

Soft Skills

CollaborationCommunicationAnalytical Thinking

Industry Keywords

Supply Chain LogisticsMarket Trend AnalysisAutomotive OEM DataResource AllocationProduction Software

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design and deliver production-grade solutions for global supply-demand matching systems
Develop, implement, and validate demand forecasting and predictive modeling algorithms
Apply time-series, causal inference, and optimization techniques to demand forecasting and supply-chain efficiency
Partner with software engineers and product owners to deliver analytics software
Contribute to technical specifications and participate in code reviews
Communicate analytical results to non-technical business partners
Co-own the end-to-end development lifecycle from data sourcing and exploration through deployment
Build and maintain scalable pipelines for model deployment and retraining
Monitor production models for data drift, bias, and accuracy and set up proactive alerting
Create visualizations to identify patterns and communicate market trends and supply constraints
Research developments in data science, machine learning, and analytics tools
Improve the efficiency, accuracy, and robustness of analytical outputs

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related technical field
3+ years of hands-on experience with Python, SQL, and Machine Learning/Optimization techniques
Proven ability to collaborate with software engineering teams to move models into production
Proven ability to translate real-world business problems into analytical formulations and interpret results for non-analytics partners
Visa sponsorship is not available
Must be legally authorized to work in the United States
Preferred: Master's degree in a quantitative or technical field
Expertise in predictive analytical methods such as neural networks, ensemble methods, and support vector machines
Experience with demand forecasting or market trend analysis
2+ years of experience applying advanced statistical methods within production-grade software
Experience with ML testing strategies, bias detection, and robustness checks
Experience with optimization methods such as linear programming, mixed-integer programming, or heuristics applied to supply chain or resource allocation problems
Experience deploying and maintaining production software
Experience deploying solutions in a cloud environment, preferably GCP
Familiarity with automotive OEM data, dealer relationships, order fulfillment, or large-scale supply chain logistics

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time