Ford Motor Company
Senior Data Scientist, Signal Processing & Machine Learning
Ford Motor Company, Santa Fe, New Mexico, us, 87503
Overview
We are seeking an exceptional and highly motivated Technical Expert to join our dynamic Quality Analytics team in Global Data Insight and Analytics (GDIA) organization. This position is for a recognized authority in signal processing and time series analysis, with a proven track record of developing novel ML models and a history of contributing to research. As the “GO-TO” individual for this discipline, you will be instrumental in discovering and implementing relevant technologies and processes to solve complex quality-related challenges. You will apply your deep expertise to various domains, including warranty analytics, and will be expected to learn and adapt quickly to new data and problem spaces. Responsibilities
Lead the discovery, development, and implementation of cutting-edge technology, processes, and business concepts in the quality analytics space as a key Technical Contributor. Apply expertise in signal processing and machine learning to analyze complex warranty data, vehicle telematics, and other 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. Advise management on technology delivery and ensure effective knowledge transfer across the team. Provide technical leadership and mentorship to peers to deliver technical objectives. Thrive in a dynamic environment by switching between multiple high-impact projects across the enterprise. Regularly present complex findings and strategic recommendations to organizational leadership at appropriate levels. Volunteer and serve on relevant internal and external professional committees and societies to enhance professional growth and the organization’s technical reputation. Minimum Requirements
A Master of Science (M.S.) degree or academic equivalent in Computer Science, Electrical Engineering, Data Science, or a related quantitative field. 5+ years of proficiency in Python for advanced data analysis and machine learning. 5+ years as a subject matter expert in signal processing and its real-world applications. 3+ years of demonstrated experience in developing and deploying machine learning models into production. Preferred Qualifications
A Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related quantitative field is highly preferred. A strong publication record in peer-reviewed journals or conferences in 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 ML methodologies to diverse domains. Excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. You may not check every box, but if you can bring value to Ford Motor Company, we encourage you to apply! 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 For a detailed look at our benefits, click here: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf) This role is remote unless you are located within 50 mile radius of a Ford Hub, which you will be required to commute on site 4x a week Visa Sponsorship IS provided for this specific role. Relocation assistance IS NOT provided for this specific role. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DS2 Requisition ID: 51093
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We are seeking an exceptional and highly motivated Technical Expert to join our dynamic Quality Analytics team in Global Data Insight and Analytics (GDIA) organization. This position is for a recognized authority in signal processing and time series analysis, with a proven track record of developing novel ML models and a history of contributing to research. As the “GO-TO” individual for this discipline, you will be instrumental in discovering and implementing relevant technologies and processes to solve complex quality-related challenges. You will apply your deep expertise to various domains, including warranty analytics, and will be expected to learn and adapt quickly to new data and problem spaces. Responsibilities
Lead the discovery, development, and implementation of cutting-edge technology, processes, and business concepts in the quality analytics space as a key Technical Contributor. Apply expertise in signal processing and machine learning to analyze complex warranty data, vehicle telematics, and other 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. Advise management on technology delivery and ensure effective knowledge transfer across the team. Provide technical leadership and mentorship to peers to deliver technical objectives. Thrive in a dynamic environment by switching between multiple high-impact projects across the enterprise. Regularly present complex findings and strategic recommendations to organizational leadership at appropriate levels. Volunteer and serve on relevant internal and external professional committees and societies to enhance professional growth and the organization’s technical reputation. Minimum Requirements
A Master of Science (M.S.) degree or academic equivalent in Computer Science, Electrical Engineering, Data Science, or a related quantitative field. 5+ years of proficiency in Python for advanced data analysis and machine learning. 5+ years as a subject matter expert in signal processing and its real-world applications. 3+ years of demonstrated experience in developing and deploying machine learning models into production. Preferred Qualifications
A Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related quantitative field is highly preferred. A strong publication record in peer-reviewed journals or conferences in 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 ML methodologies to diverse domains. Excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. You may not check every box, but if you can bring value to Ford Motor Company, we encourage you to apply! 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 For a detailed look at our benefits, click here: Benefit Summary (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-2.pdf) This role is remote unless you are located within 50 mile radius of a Ford Hub, which you will be required to commute on site 4x a week Visa Sponsorship IS provided for this specific role. Relocation assistance IS NOT provided for this specific role. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DS2 Requisition ID: 51093
#J-18808-Ljbffr