Data Scientist Student

Job Number: 68672
Group: Magna Exteriors
Division: Co-Ex-Tec
Job Type: Student
Location: CONCORD
Work Style:
About us
We see a future where everyone can live and move without limitations. That's why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.
Forward. For all.
Group Summary
The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.
Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.
About the Role
As a Data Scientist Intern, you will play a key role in supporting our Industry 4.0 and Artificial Intelligence (AI) initiatives specifically focused on optimizing our manufacturing processes for exterior trim parts. You will collaborate with cross-functional teams to collect, analyze, and interpret large datasets to provide insights and solutions that enhance our manufacturing operations, including co-extrusion, assembly, and molding.
Your Responsibilities

1. Work with the Data Science, Artificial Intelligence and Information Technology teams to work on and accomplish goals set out by the facility.
2. Develop and implement data-driven models and algorithms that leverage machine learning and AI techniques to improve operational efficiency, quality, and productivity in co-extrusion, assembly, and molding.
3. Employ statistical analysis and predictive modeling techniques to identify trends, patterns, and areas for process improvement.
4. Clean, preprocess, and validate large datasets related to co-extrusion, assembly, and molding to ensure accuracy and reliability.
5. Conduct supervised experiments, A/B testing, and perform statistical analysis to measure the impact of proposed solutions on manufacturing operations.
6. Communicate findings and results in a clear and concise manner to stakeholders, including management, engineers, and manufacturing teams. Collaborate with Data Scientists, Software Developers and Engineers to integrate data-driven solutions into production systems and optimize the manufacturing processes.

Who we are looking for

• Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• Proficient in programming languages such as Python, R, or SQL, with a solid understanding of data structures and algorithms.
• Strong knowledge of machine learning techniques, deep learning frameworks, and statistical analysis.
• Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is desirable.
• Working with data tools and protocols such as Kepware, MQTT and Mosquito

Your preferred qualifications
Accommodations for disabilities in relation to the job selection process are available upon request.
Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.
What we offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Site Benefits

• Corporate Plans for Roger's Cellphone Data Plans
• Employee Discounts: Auto and Home Insurance, Retail, Restaurants, etc.

Awareness. Unity. Empowerment.
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.