Data Science Supervisor

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.

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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