Data Scientist

Ford Motor Company

. Join Ford's Product Team and collaborate with Product Managers, Product Designers, Software Engineers, and Data Scientists .

Posted 9/30/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $85,400 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and AI engineering, with a strong focus on developing and deploying agentic AI solutions. Proficient in data manipulation, cloud platforms, and effective communication of complex insights to diverse audiences.

Highest-signal resume keywords

Statistical ModelingMachine LearningAgentic AI SolutionsCloud Platforms (GCP, Azure, AWS)Data Manipulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningData ScienceAnalytic Solutions DevelopmentAlgorithm DesignModel RefinementData AcquisitionLarge Scale Data ManipulationPattern RecognitionDomain-Specific Model Adaptation

Soft Skills

Strong Communication SkillsProblem-Solving SkillsAnalytical ThinkingAction Plan ImplementationCollaboration

Tools & Technologies

LangChainLlamaIndexHaystackAI Orchestration FrameworksLLM APIs

Certifications & Qualifications

Master's Degree in Statistics, Economics, Data Science, Computer Science, Engineering, or Mathematics

Industry Keywords

AI EngineeringData ScienceFinanceAccountingAnalytic Development Process

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Join Ford's Product Team and collaborate with Product Managers, Product Designers, Software Engineers, and Data Scientists
Own the full technical lifecycle, including end-to-end development, support, and maintenance of analytic solutions
Understand business problems and translate them into appropriate business solutions
Drive development and delivery of analytic and statistical models through data acquisition and management, algorithm design, and model refinement
Ensure data and solution quality throughout the analytic development process
Interpret results and communicate insights to technical and non-technical audiences, including executive leadership
Design and program multi-step reasoning frameworks and agentic loops using LangChain, LlamaIndex, or Haystack
Architect advanced RAG structures using embedding models, dynamic chunking strategies, and vector indices
Evaluate, select, and adapt Small Language Models for domain-specific agentic tasks
Establish statistical, model-driven, and human-in-the-loop testing benchmarks
Track accuracy drift and minimize hallucinations
Develop token-efficient agents using context compression, prompt caching, and dynamic context windowing

Requirements

What you’ll need

Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, Mathematics or relevant degree
5+ years of experience in statistical or mathematical modeling, Machine Learning, Data Science or AI Engineering
3+ years' experience with cloud platforms such as GCP, Azure, or AWS
1+ years of hands-on experience designing, developing, and deploying Agentic AI solutions, including RAG pipelines and LLM/SLM integrations
1+ years of experience in Accounting or Finance
Large scale data manipulation and mining/pattern recognition experience
Experience developing and implementing Machine Learning models
Hands-on capability with modern AI orchestration frameworks, LLM APIs, and complex behavioral prompt engineering methodologies
Experience with domain-specific model adaptation, parameter-efficient fine-tuning, and model distillation
Strong oral and written communication skills
Strong problem formulation and problem-solving skills
Experience communicating findings to make data analysis actionable and understandable by business partners
Ability to break complex problems down and implement an action plan
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
Strong capabilities designing visual interfaces for data interaction
Must be legally authorized to work in the United States
Visa sponsorship is not available

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 and 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