Data Science Supervisor

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 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 lifecyclefrom 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 teams 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 youre passionate about applying data science and software engineering to automotive quality building useful products and developing a team we encourage you to apply.

Education

• Bachelors or masters 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 weve 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 builderor 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 Years 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 $115500-$218100 .

*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 the United States If you need a reasonable accommodation for the online application process due to a disability please call 1-.

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Required Experience:

Manager