Ford Motor Company

Data Science Supervisor

Ford Motor Company • $115K — $218K *
Dearborn, MI 48126In-Person
Manufacturing & Automotive
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field; Ph.D. preferred.
  • 5+ years of experience in data science, machine learning, software engineering, or related fields.
  • Proven experience leading or supervising technical teams including software developers and data scientists.
  • Experience delivering analytics or software products through their lifecycle.
  • Strong analytical skills and ability to communicate complex technical topics clearly.

Responsibilities

  • Guide the design of anomaly-detection models for identifying vehicle quality issues.
  • Shape the analytics product roadmap by integrating stakeholder needs and data insights.
  • Evaluate and integrate emerging AI capabilities to enhance product value.
  • Drive model validation and continuous improvement for high reliability.
  • Translate vehicle diagnostic challenges into actionable data solutions.

Benefits

  • Immediate medical, dental, and prescription drug coverage.
  • Flexible family care and parental leave programs.
  • Vehicle discount program for employees and family members.
  • Tuition assistance program.
  • Active employee resource groups and community service PTO.
Full Job Description
Job Description

We are seeking a hands-on Data Science Supervisor to lead a team of software developers and data scientists building diagnostic and quality analytics products for Ford vehicles. In this role, you will guide the team in turning diagnostic trouble codes (DTCs), Data Identifiers (DIDs), and Controller Area Network (CAN) signal data into actionable insights that help identify and resolve vehicle quality issues.

This role requires a combination of AI/ML engineering expertise, people leadership, product delivery, and stakeholder partnership. You will guide work across the product lifecycle-from data ingestion and model development to deployment of interactive dashboards backed by scalable Google Cloud Platform (GCP) infrastructure. You will champion agile practices, mentor team members, and partner with product, quality, and engineering stakeholders to deliver useful, reliable analytics products.

Responsibilities

Data Science, AI & Product Strategy
  • Guide the design and development of anomaly-detection models using DTCs, DIDs, and CAN signal data to identify emerging vehicle quality issues.
  • Help shape the team's analytics product roadmap by connecting stakeholder needs, vehicle quality priorities, data insights, and technical opportunities.
  • Evaluate and integrate Generative AI, retrieval-augmented generation (RAG), natural language processing (NLP), and other emerging capabilities where they can add value.
  • Drive model validation, performance monitoring, and continuous improvement to support production-grade accuracy and reliability.
  • Translate vehicle quality and diagnostic challenges into practical data science and software solutions.


Platform & Product Delivery
  • Oversee the design, development, and deployment of Angular-based dashboards that present diagnostic and quality insights to internal stakeholders.
  • Guide the development of scalable, end-to-end ML pipelines on GCP, including data ingestion, processing, modeling, deployment, and monitoring.
  • Partner with technical teams to ensure products are reliable, maintainable, secure, and fit for operational use.
  • Manage team priorities, resources, and delivery timelines in support of the product roadmap.
  • Identify and address delivery risks, technical dependencies, and opportunities to improve product performance.


Team Leadership & Organizational Effectiveness
  • Lead, coach, and develop a team of software developers and data scientists delivering diagnostics and quality analytics products.
  • Establish clear team priorities, roles, expectations, and accountability.
  • Foster a collaborative, inclusive, and high-performing team environment focused on customer value, quality, and continuous improvement.
  • Support workforce planning, knowledge sharing, technical development, and career growth.
  • Promote disciplined execution and strong collaboration across software engineering and data science workstreams.


Engineering Practices & Continuous Improvement
  • Champion agile practices, including sprint planning, backlog refinement, and retrospectives.
  • Establish and reinforce engineering practices such as code review, testing, CI/CD, and version control across data science and AI work.
  • Support the use of MLOps practices for model deployment, monitoring, and lifecycle management.
  • Identify opportunities to improve data pipelines, model workflows, software delivery, and operational practices.
  • Stay current on advances in automotive diagnostics, AI/ML, and cloud technologies, and assess their potential application to team products.


Stakeholder Engagement & Communication
  • Partner with quality, engineering, and product teams to understand business and vehicle quality needs and define effective solutions.
  • Communicate technical findings, model performance, product roadmaps, risks, and delivery progress to technical and non-technical stakeholders.
  • Build trusted working relationships across the organization and help align stakeholders on priorities, decisions, and outcomes.


Qualifications

We recognize that no one person will embody every single quality or skill listed below. If you're passionate about applying data science and software engineering to automotive quality, building useful products, and developing a team, we encourage you to apply.

Education
  • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Equivalent relevant experience may be considered.
  • Ph.D. in Computer Science, Data Science, Engineering, or a related field is preferred.


Experience
  • 5+ years of relevant professional experience in data science, machine learning, software engineering, analytics, or a related technical field.
  • Demonstrated experience leading or supervising software developers, data scientists, or a multidisciplinary technical team.
  • Experience delivering data science, AI/ML, analytics, or software products through development, deployment, and ongoing improvement.
  • Experience planning and prioritizing work, coordinating delivery, and managing team resources.
  • Experience partnering with product, engineering, quality, or business stakeholders to translate needs into technical solutions.
  • Experience with agile software development practices, such as Scrum or Kanban.
  • Strong analytical and problem-solving skills, with the ability to communicate complex technical topics clearly.


Required Technical Experience
  • Knowledge of automotive diagnostics, including DTCs, DIDs, and CAN bus signal data.
  • Proficiency in Python for data manipulation, analysis, and model development.
  • Strong understanding of AI and machine learning methods, including deep learning, neural networks, and ensemble methods.
  • Experience developing and training machine learning models using frameworks such as TensorFlow, Keras, or PyTorch.
  • Experience designing end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
  • Proficiency with GCP services relevant to machine learning and analytics, such as AI Platform, BigQuery, Dataflow, or TensorFlow.
  • Familiarity with cloud-based data storage and processing technologies for large datasets.
  • Understanding of containerization technologies such as Docker for packaging and deploying software or models.
  • Experience with Git or similar version-control systems and strong software engineering practices, including testing and code review.


Preferred Experience
  • Experience with Angular or another modern front-end framework for dashboards or data visualization.
  • Prior experience in the automotive industry, especially in vehicle quality, diagnostics, or connected-vehicle data.
  • Experience applying anomaly-detection techniques to time-series, sensor, or signal data.
  • Familiarity with MLOps practices and tools for model deployment, monitoring, and lifecycle management.
  • Experience with Generative AI, RAG, NLP, or related advanced AI techniques.
  • Experience leading multidisciplinary teams that combine software engineering and data science.


You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.

For a detailed look at our benefits, click here: Benefit Summary

This position is a leadership level 6.

This position is leadership level 6 and ranges from $115,500-$218,100.

*Visa Sponsorship is not provided for this role*

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About Ford Motor Company

Ford Motor Company manufactures or distributes automobiles in addition to offering financial services. The company sells to dealerships for retail sales, and for sale to fleet customers, including commercial fleet customers, daily rental car companies, and governments. Ford’s vehicle portfolio includes automobiles, buses, tractors, and trucks. Retail financing includes retail installment sale contracts for new and used vehicles, and direct financing leases for new vehicles to retail customers, government entities, daily rental car companies, and fleet customers. Finance receivables in the non-consumer portfolio include products offered to automotive dealers. Ford’s environmental initiatives include compressed natural gas, flexible fuel vehicles, electric drive vehicles, Hydrogen, PC power management, and so on. Ford Motor Company was founded by Henry Ford in 1903 and is headquartered in Dearborn, Michigan.

Ford Motor Company Careers

Join the dynamic team at Ford Motor Company, a global leader in automotive innovation and manufacturing. At Ford, we are committed to driving human progress by providing outstanding vehicles and mobility solutions. This is an exciting time to become part of our inclusive team, where job opportunities abound and growth is not just a possibility, but a promise.

Work You’ll Do

At Ford Motor Company, you will collaborate with some of the brightest minds in the industry. Our professionals are at the forefront of automotive technology, leading projects that redefine transportation and sustainability. With a culture rooted in continuous improvement and respect for all, Ford offers a workplace where leadership, diversity training, and innovation are part of everyday life.

Join Our Market-Leading Team

Ford’s commitment to excellence is why we are a leader in the automotive sector. We offer a variety of career paths, from engineering to marketing, all designed to foster professional and personal growth. Our team benefits from Ford’s commitment to professional development and networking opportunities, ensuring that every team member can reach their full potential.

Innovative Work

Engage in work that makes a difference. Ford Motor Company is pioneering developments in electrification, autonomous vehicles, and smart mobility solutions. Our team of over 190,000 employees worldwide is dedicated to crafting experiences that improve the way the world moves.

Be Part of a Great Team

Working at Ford means more than just having a job; it means being part of a global family. Our culture promotes teamwork, integrity, and respect—values that underpin everything we do. We believe in nurturing a diverse and inclusive environment where every employee can thrive.

Future-Proof Your Career

Ford Motor Company is not just a great place to work; it’s a place to build a lasting career. Our employees enjoy competitive benefits, comprehensive health care, and retirement plans that rank among the best in the industry. We support career advancement through extensive training programs and hands-on experience in the latest automotive technologies.

Explore Job Opportunities and Internships

Whether you’re a seasoned professional looking for your next challenge or a student interested in an internship, Ford has opportunities that will harness your skills and ignite your ambition. Our hiring process is straightforward and respectful, designed to match your skills and passions with the right position.

Stay Connected

Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Ready to start your journey with Ford? Prepare your resume, sharpen your interview skills, and become part of a company that’s building the future of transportation.

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Learn more about Ford Motor Company
Size
183,000 employees
Market Cap
$44.8 billion
Industry
Manufacturing & Automotive
Net Income
-$1.2 billion
Founded
1903
5 Year Trend
-2.1%
Revenue
$127.1 billion
NASDAQ
F
* Ladders Estimates

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