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Senior Data Scientist at Ford Global Career Site
Palo Alto, California, United States -
Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

226980.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Machine Learning, Predictive Maintenance, Anomaly Detection, Automated Quality Control, Python, R, SQL, PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, Google Cloud Platform, Vertex AI, BigQuery, Dataflow

Industry

Motor Vehicle Manufacturing

Description
Ford is undergoing its most significant transformation in over a century, and our manufacturing plants are at the heart of this evolution. In this role, you will sit within the ATP organization, focusing specifically on the "smart factory" initiative. You will be responsible for developing, deploying, and scaling machine learning models that address critical manufacturing challenges: predictive maintenance for robotics, real-time anomaly detection on the assembly line, and automated quality control. This is a technical Individual Contributor (IC) role that requires a deep understanding of the full data science lifecycle. You won't just be building models in a vacuum; you will work cross-functionally with Product Managers, Industrial Designers, and Plant Engineers to ensure your solutions are robust, scalable, and integrated into the physical workflow of our factories. You will be a key player in Ford’s transition to a software-defined manufacturing powerhouse.
Responsibilities
The role involves developing, deploying, and scaling machine learning models to solve critical manufacturing challenges such as predictive maintenance, real-time anomaly detection, and automated quality control. This Individual Contributor position requires cross-functional collaboration to integrate robust, scalable solutions into the physical factory workflow.