Quality Data Scientist

Quality Data Scientist

02 May 2024
Tennessee, Stanton, 38069 Stanton USA

Quality Data Scientist

Introduction to BlueOval SK Battery ParkFord is investing $11.4 billion to build two state-of-the art manufacturing facilities, BlueOval City in Tennessee and BlueOval SK Battery Park in Kentucky. Ford has selected to partner with SK Innovation for their battery expertise.For more information about Ford’s BlueOval Plans, please Follow this link. (https://media.ford.com/content/fordmedia/fna/us/en/news/2021/09/27/ford-to-lead-americas-shift-to-electric-vehicles.html)Introduction to BlueOval SKAt BlueOval SK, we will lead the transformation of the electric vehicle (EV) battery business through partnership (Joint Venture formed by Ford and SK On) to provide products and processes to increase our customers’ experience. As the future of BlueOval SK, you will help lead the battery revolution by working alongside our teams as we build the batteries required for electric vehicle business excellence.Ford and SK On are investing billions in Kentucky and Tennessee including building three state-of-the art battery manufacturing facilities between the two campuses at BlueOval City in Tennessee and BlueOval SK Battery Park in Kentucky. These brand-new advanced manufacturing facilities will use Ford’s 100-years of automobile manufacturing expertise and SK On’s 30+ years of electric vehicle battery expertise to become the world’s best battery manufacturer.The Quality Data Scientist at BlueOval SK Battery Park in Glendale, Kentucky will have a unique, once-in-a-lifetime opportunity to be a key member of the start-up team, launching the facility from ground up.As a Quality Data Scientist on our 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.Key Responsibilities:

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 in a clear and concise manner.

Stay up to date 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’ experience in analyzing high-dimensional datasets.

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.

2+ years of experience with data analysis and visualization Python packages such as Pandas, SciPy, Seaborn, etc.

1+ years’ experience in SQL programming language and relational databases.

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.

Preferred Qualifications:

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.

About BlueOval SKAt BlueOval SK, we will lead the transformation of the electric vehicle (EV) battery business through partnership (Joint Venture formed by Ford and SK On) to provide products and processes to increase our customers’ experience. As the future of BlueOval SK, you will help lead the battery revolution by working alongside our teams as we build the batteries required for electric vehicle business excellence. We have a wide variety of opportunities for you to accelerate your career.The OpportunityFord and SK On are investing billions in Kentucky and Tennessee including building three state-of-the art battery manufacturing facilities between the two campuses at BlueOval City in Tennessee and BlueOval SK Battery Park in Kentucky. These brand-new advanced manufacturing facilities will use Ford’s 100-years of automobile manufacturing expertise and SK On’s 30+ years of electric vehicle battery expertise to become the world’s best battery manufacturer.For more information about BlueOval SK plans, please Follow this link.What you’ll receive in return:As part of the BlueOval SK family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous paid time off (PTO), retirement contributions, incentive compensation and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition. If you have what it takes to help us lead the transformation of the EV battery business, we’d love to have you join us.Benefits Include :

401k plan with retirement planning services

401k company matching after completing three months of service

Medical and prescription drug coverage

Dental and vision coverage

Preventative Care

Eligibility for great ancillary benefits including: Flexible Spending Accounts (FSAs), Short-Term Disability (STD) and Long-Term Disability (LTD), Employee Basic Life and Accidental Death Dismemberment (AD&D) insurance, and Employee Supplemental Life Insurance

Access to Paid Time Off (PTO) after completing probationary period and Emergency PTO

Parental Leave

Access to Ford Vehicle Discount Program

Climate-controlled working environment

For a full list of benefits, visit our website:

https://blueovalsk.com/opportunities

​Candidates for positions with BlueOval SK must be legally authorized to work in the United States. BlueOval SK does not sponsor employment VISAs for candidates at this time. 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.

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