Quality Data Scientist

Join our Team at BlueOval SK Battery Park

Introduction to BlueOval SK Battery Park

Ford is revolutionizing the electric vehicle (EV) industry with a massive $11.4 billion investment in state-of-the-art manufacturing facilities, including BlueOval SK Battery Park in Kentucky and BlueOval City in Tennessee. By partnering with SK Innovation, a leader in battery technology, we aim to lead the charge in EV battery production.

For more details about Ford’s BlueOval Plans, please .

Transforming the Future of EV Batteries at BlueOval SK

At BlueOval SK, a joint venture between Ford and SK On, we are at the forefront of the EV battery revolution. Collaborate with our talented teams to produce the high-quality batteries essential for electric vehicles. Your contribution will play a key role in advancing our customers’ experiences.

With billions invested in cutting-edge battery manufacturing facilities across BlueOval City, Tennessee, and BlueOval SK Battery Park, Kentucky, we combine Ford’s century-long automobile expertise with SK On’s over 30 years of battery technology to become the world’s leading battery manufacturer.

Exciting Opportunity: Quality Data Scientist

We are looking for a Quality Data Scientist to join our groundbreaking team at BlueOval SK Battery Park in Glendale, Kentucky. This is a unique once-in-a-lifetime opportunity to be part of an innovative startup and help launch a state-of-the-art EV battery production facility.

Key Responsibilities

• Develop and implement advanced anomaly detection machine learning models for manufacturing components test data.
• Analyze multimodal datasets to uncover trends and insights that enhance quality control strategies.
• Continuously improve the efficiency and accuracy of existing machine learning models.
• Develop scalable model architectures for swift and reliable model retraining.
• Collaborate with the production team and stakeholders to ensure defective parts do not reach customers.
• Document and communicate findings and insights clearly to stakeholders.
• Stay current with the latest advancements in machine learning algorithms and industry best practices.

Minimum Requirements

• Master’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 of experience analyzing high-dimensional datasets.
• Proficiency in supervised machine learning algorithms and frameworks like Scikit-learn, Pytorch, TensorFlow, or XGBoost.
• 2+ years of experience with data analysis and visualization packages such as Pandas, SciPy, and Seaborn.
• 1+ years of experience in SQL programming language and relational databases.
• Solid understanding of unsupervised machine learning algorithms like isolation forests, one-class SVM, and autoencoders.
• Familiarity with feature engineering concepts, Fourier transform, and statistical feature extraction and selection.

Preferred Qualifications

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

Benefits of Joining BlueOval SK

As part of the BlueOval SK family, you will receive excellent compensation and a comprehensive benefits package, including:

• 401k plan with retirement planning services and company matching after three months of service.
• Medical, dental, and vision coverage, including prescription drug coverage.
• Preventative care and access to ancillary benefits like Flexible Spending Accounts (FSAs), Short-Term Disability (STD) and Long-Term Disability (LTD), Employee Basic Life and Accidental Death & Dismemberment (AD&D) insurance, and supplemental life insurance.
• Paid Time Off (PTO) after a probationary period and Emergency PTO.