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We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? As the Senior Data Scientist for Manufacturing AI & OT Data Strategy, you will play a multifaceted role combining strategic leadership and hands-on technical expertise. You will oversee the end-to-end lifecycle of data science projects, from problem definition and data acquisition to deployment and continuous monitoring of models. You will serve as a key liaison between Manufacturing Operations, Engineering, and IT teams to translate industrial challenges—such as predictive maintenance, quality defect prediction, and process optimization—into scalable AI solutions.
Responsibilities
AI Stack Development: Build features and services across the full AI stack—orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.
End-to-End ML Pipelines: Build pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments.
Multi-modal Data Science: Work with diverse datasets including images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions.
Production Ownership: Own production models with robust monitoring, drift detection, and alerting systems for rapid issue resolution.
Cross-functional Collaboration: Collaborate with production, process engineering, controls, and quality teams to translate ambiguous problem statements into end-to-end ML solutions.
Manufacturing Problem Solving: Partner with factory, quality and engineering teams to identify high-impact AI-enabled problems.
Qualifications
Education:
BS/MS or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.
Overall Experience:
5+ years of progressive experience in Data Science, utilizing ML in production to solve complex business problems in a leading role. 3+ years of direct experience applying data science within a manufacturing or industrial environment (ideally automotive).
Senior Level:
Demonstrated ownership of services or platform components, end-to-end delivery of ML applications.
Technical Expertise:
Proficiency in Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch). Strong SQL skills for complex data extraction, modeling and manipulation. Proven ability to rapidly learn new concepts and apply ML methodologies to new domains.
Infrastructure & DevOps:
Proficiency with modern software delivery practices (version control, CI/CD, Terraform). Familiarity with cloud platforms (GCP Preferred), cloud-native services, and containerization (Docker/Kubernetes).
Competitive Edge
Hands-on experience with LLM application concepts (retrieval, grounding, agent design, function/tool use, evaluation, and MCP server).
Experience deploying and maintaining production ML systems in an industrial or manufacturing setting.
Deep experience with OT data infrastructure and industrial protocols (e.g., OPC UA, MQTT).
You may not check every box, or your experience may look different from what we’ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
Benefits & Other Information
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Employee resource groups, paid time off for community service, and paid holidays
Salary: This position is a salary grade 6-8 and ranges from $85,400-$192,900. Final determination of salary grade will be based on candidate\'s skills and experience. Visa sponsorship is available. Candidates must be legally authorized to work in the United States. Equal Opportunity Employer. Reasonable accommodation for the online application process is available upon request.
Work Arrangement: This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be onsite four or more days per week.
About Ford: Ford Motor Company is an equal opportunity employer committed to diversity and inclusion. We are Ford Information Technology (IT) shaping the future of mobility.
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Sprachkenntnisse
- English
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