Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
About the role
- Senior Data Scientist developing machine learning models to improve Ford's manufacturing processes. Collaborate with cross-functional teams to create scalable solutions in smart factories.
Responsibilities
- Design and implement advanced machine learning models for predictive maintenance, anomaly detection, and computer vision-based quality control.
- Architect data pipelines from ingestion (sensor data, PLC logs) to model deployment and monitoring using GCP and Python.
- Apply rigorous statistical methods to identify patterns in manufacturing data that correlate with vehicle quality or equipment downtime.
- Partner with Product and Engineering teams to translate manufacturing pain points into technical requirements and deliver user-centric data products.
- Act as a subject matter expert within ATP, conducting code reviews, mentoring junior scientists, and staying at the forefront of AI/ML research in the industrial space.
- Ensure models are optimized for production environments, moving from localized pilots to global plant-wide deployments.
- Work with data engineering to improve data collection protocols and sensor telemetry quality from the plant floor.
Requirements
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
- 5+ years of professional experience in a Data Science role, with a proven track record of deploying models into production environments.
- Proficiency in Python (R and SQL are also highly valued).
- Expertise in machine learning frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM.
- Experience working within Google Cloud Platform (GCP) (Vertex AI, BigQuery, Dataflow).
- Previous experience with time-series analysis, industrial IoT data, or manufacturing quality systems.
- Advanced Degree: PhD in a relevant field is preferred.
- Experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data is preferred.
- Familiarity with CI/CD for machine learning, containerization (Docker/Kubernetes), and model monitoring tools is preferred.
- Ability to explain complex mathematical concepts to non-technical stakeholders (e.g., plant managers and design leads) is preferred.
- A "product-first" mindset—focusing on the business impact of the model rather than just its accuracy metrics is preferred.
Benefits
- 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.
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