New solutions emerge when thinking isn't hard-wired. Networks are about more than IT Networks. They are about connecting people who make things possible. Close teamwork is key to understanding how IT can help integrate ideas into systems. We put this insight into practice, and it's part of our success.
The IT Data Scientist - Analyst:
Accelerates and supports the ongoing activities in the field of Artificial Intelligence and Computer vision for multiple use cases for quality improvement in the area of manufacturing.
Drives data for future BMW processes and products.
Conducts advanced analytical tasks, designs deep learning models, data mining, and computer vision to enable BMW to improve its products, services and processes.
Analyzes business critical data and recommends improvements.
Works with large data sets consisting of predominantly images and conducts advanced analytics tasks.
Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Works with different BMW business units to understand the business demands with respect to Artificial Intelligence and Quality Assessment.
Deals with large volumes of data, understands and explores data critical to BMW's business.
Develops custom data models and algorithms to apply to data sets.
Coordinates with different functional teams to implement models and monitor outcomes.
Develops processes and tools to monitor and analyze model performance and data accuracy.
Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.
Advises developers and engineers on latest data analytics technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team.
Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.
Understands and models VPS (Value Added Production System) Principles and concepts of Standard Work and Problem Solving.
Adheres to 5S and Safety Standards and Principles.
Performs other duties assigned by management.
BMW Manufacturing is a leader in innovations and excellence. Come be a part of the extraordinary advanced manufacturing team where new technologies and ideas are constantly being discovered and implemented.
BMW Manufacturing is proud to be located in Upstate, South Carolina at the foothills of the beautiful Blue Ridge Mountains, providing the perfect mix of exciting city life and the great outdoors, or simply a great environment in which to raise a family. In addition to offering a stimulating work environment and a great place to live, BMW Associates have access to an exceptional range of benefits.
Our comprehensive benefits program includes: - Medical, Dental, Prescription and Vision coverage - Paid time off - 401(k) plan with company matching contribution - Retirement Income Account - Life insurance - BMW Associates Assistance Program - Medical Flexible Spending Account (FSA) - Company vehicle program
Bachelor degree in computer science, mathematics/statistics or related field. Advanced degree (Masters or PhD) in computer science, mathematics/statistics or a related field (preferred).
3+ years post-university experience in advanced analytics in the field of data science, applying scientific data analytics methods preferably to automotive industry datasets.
3+ years of experience in statistical languages and tools such as, Python and R.
3+ years of experience in problem solving skills with an emphasis on product development.
1+ years proven experience completing projects with a set of various data sources.
Process/project management experience or training/certifications (preferred).
3+ years of knowledge in using statistical computer languages (Python, SLQL, etc) to manipulate data and draw insights from large data sets.
1+ years of knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).
and their real-world advantages/drawbacks.
Intermediate knowledge of deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.).
3+ years of knowledge of in one or more of the following programming languages: Python, Java, and C++.
3+ years of knowledge in Computer Science and in database technologies including SQL, Oracle, SQL Server, SAP HANA, and NoSQL databases.
BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Employment with BMW Manufacturing Co., LLC (BMW MC) is at-will and may be terminated at any time, with or without notice, at the option of BMW MC or the employee.