Description
The Powertrain Manufacturing Engineering (PTME) Europe team at Ford is seeking a Manufacturing Data Scientist to play a crucial role in shaping the future of automotive manufacturing through machine learning, advanced analytics, and data-driven decision making.
The successful candidate will be responsible for identifying opportunities, developing analytical solutions, and delivering measurable business outcomes across the full project lifecycle. This role offers the unique opportunity to combine technical data science expertise with real-world manufacturing problem-solving.
Key responsibilities include:
- Developing and maintaining machine learning, statistical, and forecasting models to optimize manufacturing processes
- Designing and building scalable data pipelines using Python and Google Cloud Platform (GCP)
- Interfacing and translating manufacturing and business challenges into structured analytical frameworks and data-driven solutions
- Facilitating stakeholder engagement and managing expectations
- Standardizing data across diverse manufacturing systems
- Providing technical assistance and data-driven insights during new manufacturing process launches
- Communicating analytical findings and recommendations to technical and non-technical audiences
- Collaborating with cross-functional teams to ensure analytical solutions are scalable and deployable
- Mentoring and documenting technical knowledge and best practices
The ideal candidate will have:
- A degree in Data Science, Computer Science, Engineering, Mathematics, or a related quantitative discipline
- Strong proficiency in Python for data analysis, machine learning, and statistical modeling
- Experience developing analytical solutions in complex operational environments
- Excellent communication and stakeholder management skills
- Hands-on experience building and maintaining scalable data pipelines
- Ability to translate complex business problems into structured analytical frameworks
This is a hybrid role, requiring a minimum of 4 days on-site per week, with occasional international travel required.