Data Science Supervisor

Lincoln Motor Company; Dearborn (MI); On-site; USD 116,000 - 218,000; Full time

Benefits offered by this job

Medical, dental, vision

Vehicle discount program

Tuition assistance

Paid time off

Employee resource groups

Holiday pay

Job summary

Ford Motor Company in Dearborn, MI seeks a hands-on Data Science Supervisor to lead a team delivering diagnostic and quality analytics for Ford vehicles. You’ll guide AI/ML, DTC/DID/CAN data, and cloud-enabled dashboards, focusing on scalable pipelines on GCP and production-grade reliability.

You will mentor engineers and data scientists, collaborate with product/quality/engineering stakeholders, promote agile practices, and drive delivery of actionable analytics that improve vehicle quality and

Qualifications

• 5+ years in data science, ML, analytics or related field.
• Experience leading software developers and data scientists.
• Experience delivering data science, AI/ML, analytics, or software products end-to-end.
• Experience with agile software development (Scrum/Kanban).
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Lead design of anomaly-detection and analytics using DTCs, DIDs, and CAN data.
• Oversee end-to-end ML pipelines on GCP from ingestion to deployment and monitoring.
• Develop Angular dashboards for internal stakeholders.
• Mentor and develop team members, manage priorities and delivery timelines.
• Promote engineering best practices: CI/CD, testing, code reviews.

Skills

Python

AI/ML

Leadership

Data analysis

GCP

Dashboards

Education

Bachelor's or Master's in CS/Data Science/Engineering

Ph.D. preferred

Tools

TensorFlow

Keras

PyTorch

Angular

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.

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.