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Senior Data Scientist, Signal Processing & Machine Learning at Ford Global Career Site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Signal Processing, Machine Learning, Python, Data Analysis, Generative AI, Technical Leadership, Mentorship, Root Cause Analysis, Vehicle Telematics, Predictive Modeling, Communication Skills, Publication Record, Complex Data Analysis, Failure Prediction, Quality Improvement, Rapid Learning

Industry

Motor Vehicle Manufacturing

Description

Apply your deep expertise in signal processing and machine learning to analyze complex warranty data, vehicle telematics, and other diverse datasets to uncover actionable insights. Design, develop, and deploy advanced machine learning and generative AI models into production to predict failures, identify root causes, and drive improvements in vehicle quality. Provide technical leadership and mentorship to your peers, guiding them in the delivery of technical objectives. Established and active employee resource groups A Master of Science (M.S.) degree or academic equivalent in a discipline commensurate with the specialty, such as Computer Science, Electrical Engineering, Data Science, or a related quantitative field. 5+ years of extensive proficiency in the Python programming language for advanced data analysis and machine learning. 5+ years as a subject matter expert in signal processing and its application to real-world problems. 3+ years of demonstrated experience in developing and deploying machine learning models into a production environment. A Ph.D. in a relevant technical field is highly preferred, such as Computer Science, Electrical Engineering, Data Science, or a related quantitative field. A strong publication record in peer-reviewed journals or conferences in the areas of machine learning or signal processing. Deep understanding and practical experience with generative AI concepts and tools. Proven ability to rapidly learn new concepts and apply machine learning methodologies to new and diverse domains. Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Responsibilities

Analyze complex warranty data and vehicle telematics to uncover actionable insights. Design, develop, and deploy advanced machine learning models to predict failures and improve vehicle quality.