At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

Ford Motor Company's GDIA organization is seeking a skilled data scientist to join our Quality Analytics team. As a Data Scientist on our Quality Analytics team, you will focus on preventive quality control, developing and implementing machine learning models to detect anomalies in our manufacturing components' test data. Your work will be crucial in identifying quality issues during production and ensuring our commitment to excellence.

The minimum requirements we seek :

• Bachelor's degree in computer science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum of two years of experience in Python programming language.
• 2+ years’ experience in analyzing high-dimensional datasets.
• 2+ years’ experience in SQL programming language and relational databases.
• 2+ years of experience with data analysis and visualization Python packages such as Pandas, SciPy, Seaborn, etc.
• 2+ years of experience with supervised machine learning algorithms and at least one of the following popular Machine learning frameworks: Scikit-learn, Pytorch, TensorFlow, and XGBoost.
• Solid understanding of unsupervised machine learning algorithms such as isolation forests, one-class SVM, autoencoders, etc.
• Familiarity with feature engineering concepts, Fourier transform, and statistical feature extraction and selection.

Our preferred requirements :

• Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field is preferred.
• Experience with Git and GitHub for version control and collaboration.
• Experience with Google Cloud Platform for data processing and machine learning tasks.
• Familiarity with the concept of time-frequency analysis and deep learning-based feature extraction.
• Familiarity with sequential data modeling, feature extraction, and deep neural net architectures such as LSTM, GANS, and Conditional Random Fields.

What you’ll receive in return :

As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.

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. Visa sponsorship is not available for this position .

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.

For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf

At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.

What you’ll be able to do :

• Develop, implement, and fine-tune anomaly detection machine learning models for manufacturing components test data.
• Analyze and interpret multi-modal datasets, uncovering trends and insights that will inform our quality control strategies.
• Continuously improve the efficiency and accuracy of existing machine learning models.
• Develop scalable model architectures for fast and reliable model retraining purposes.
• Collaborate with the production team and other stakeholders to prevent defective parts from reaching customers.
• Document and communicate findings and insights to stakeholders clearly and concisely.
• Stay current with the latest advancements in machine learning algorithms and industry best practices.