Data Scientist
Job Number: 68104
Group: Magna Corporate
Division: Magna Design and Engineering (USA)
Job Type: Permanent/Regular
Location:
Troy, MICHIGAN, US, 48083
Work Style: Hybrid
Job Number: 68104
Group: Magna Corporate
Division: Magna Design and Engineering (USA)
Job Type: Permanent/Regular
Location: TROY
Work Style: Hybrid
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
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
About the Role
The Data Scientist will be a key member of the Data Analytics Team. In this role, you will use your expertise to solve data related challenges in manufacturing operations. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we would love to hear from you.
Your Responsibilities
Support development of data analytics projects, apply data science, analytics, and computer vision to solve challenges in the manufacturing environment.
Execute strategy and support applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.
Support, plan, and execute the initial and wider deployment and adoption of Machine Learning and AI initiatives, PoC, and small-scale implementation.
Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.
Leverage internal and external expertise as required.
Regularly interface with senior management to provide project updates.
Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
Who we are looking for
Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or a closely related education with 2+ years of experience in industry with a focus on data analytics and/or computer vision.
Alternate: Bachelor's degree in Mathematics, Statistics, Computer Science, or a closely related education with 5+ years of experience in industry with a focus on data analytics and/or computer vision.
Experience with a wide variety of Machine Learning and AI techniques and algorithms
Experience with computer vision
Ability to learn, be self-motivated and driven to identify high value opportunities, gain information, develop understanding, and engage in implementation
Willingness to ask questions and build networks/relationships with other departments/groups
Your preferred qualifications
Knowledge of C++ Analytic tools and languages for statistical and machine learning models, especially Python
Experience with agile project management and related tools such as Confluence and JIRA
Experience with cloud-based tools by Microsoft, AWS, Databricks
Deep Learning frameworks and tools such as TensorFlow
Data management using PySpark and SQL
DevOps – GIT, Docker, CI/CD
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
Comprehensive Medical, dental, and vision plans
401 (k) plan with employer matching
Profit sharing program
Exciting internal development opportunities
Cafe
Parking for electric vehicles
Awareness. Unity. Empowerment.
At Magna, we believe 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.