Data Science Supervisor

Job ID: 71437
Location: Dearborn, Michigan
Category: Global Data Insight & Analytics

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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.

Job Type: Full time
Work Type: Hybrid

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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.

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.

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*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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Change the world with your ideas.

Speak up. We’re listening. At Ford, we believe the right ideas, and the people behind them, can move an entire industry. Here, you'll work with teams who value your voice, push bold ideas forward, and leave a mark that lasts.

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Support designed to go the distance.

From day one, Ford invests in you with medical benefits built to help you plan for what’s next. You’ll also get support for you and your family that meets you at every step, so you can move forward with confidence.

Health and Wellness

Comprehensive medical, dental, vision, mental health, and unique wellness perks keep you and your family supported every step of the way.
Financial and Retirement Programs

Build a strong financial future with robust retirement contributions, savings programs, and free personalized financial planning tools.
Flexible Vacation and Holidays

Enjoy your time away from work with generous vacation, holidays, and flexible family leave designed to help you balance life and work with ease.
Vehicle Discount Program

The best thing about building great products is driving them! The second-best thing: sharing your discount with family and friends so they can drive them, too.
Family Growth and Support

Grow your family confidently with fertility, surrogacy, and adoption assistance, paid parental leave, and a supportive new-parent ramp-up program.
Additional Programs

Enjoy unexpected extras like pet insurance, legal services, identity protection, and access to convenient health and wellness services.

Ford gives me the space to innovate, to lead, and to serve — all while staying true to who I am as an engineer, educator, and parent. It’s not just a career; it’s a community that drives change.

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Data Science Supervisor

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Change the world with your ideas.

Support designed to go the distance.

Health and Wellness

Financial and Retirement Programs

Flexible Vacation and Holidays

Vehicle Discount Program

Family Growth and Support

Additional Programs

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