Senior Data Scientist – AI Specialist

Ford Motor Company

Senior Data Scientist leveraging data and AI to transform business analytics at Ford. Collaborating cross-functionally to develop solutions that enhance decision-making based on quality data.

Posted 6/18/2026full-timeDearborn • Missouri • 🇺🇸 United StatesSenior💰 $68,300 - $192,900 per yearWebsite

Tech Stack

Tools & technologies

AngularCloudGoogle Cloud PlatformNeo4jPythonReactSQLTableau

About the role

Key responsibilities & impact

As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
You will collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop metrics, develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable via Google Cloud Platform to optimize the delivery of value.
Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.
Familiar with LLM orchestration workflows like Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.
Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.
Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
Working with data scientists to define AI strategies, understand requirements, and implement solutions.
Testing, validating and monitoring AI models in production scale to ensure reliability.
Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.
Accelerate the application of value-added analytics and machine learning into the portfolio of products for supplier risk team.
Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
Act as a consultant to the business vs. an order taker.

Requirements

What you’ll need

Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of relevant education and experience
5+ years of hands-on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis, capable at least three of the following visualization/dashboard tools: Angular, React, Tableau, looker, PowerBI
3+ years of experience delivering analytics solutions
3+ years of experience with Agile team methodology
PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field
Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem
Experience with neo4j development or related graph DB
Experience with Product Driven Operating Model or Agile Product Development Process
Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users
Comfortable working in an environment where problems are not always well-defined
Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner
Well-organized, independent, and ready to work with minimal supervision
Inquisitive, proactive, and interested in learning new tools and techniques
Demonstrated hands on experience with deploying data products and/or analytic models in Ford’s on-prem and/or Google Cloud Platform
Demonstrated experience to translate real-world business problems into analytical formulations and interpret analytics results with non-analytics business partners
Work experience in automotive industry is a big plus, as is experience in a procurement, logistics or program management function.

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 and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
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
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLmachine learningartificial intelligenceoptimization techniquesstatistical analysisdata visualizationdeep learningLLMsdata pipelines

Soft Skills

interpersonal skillsleadership skillscommunication skillsproblem-solvingindependenceproactivityorganizational skillscollaborationconsultative approachadaptability

Certifications

Master’s degree in Data ScienceMaster’s degree in EngineeringMaster’s degree in Operations ResearchMaster’s degree in Industrial EngineeringMaster’s degree in StatisticsMaster’s degree in MathematicsMaster’s degree in Computer SciencePhD in Data SciencePhD in EngineeringPhD in related field