Senior Data Scientist

Posted 10 Hours Ago
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Aurora, ON
Hybrid
Senior level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
The Senior Data Scientist will lead data projects in manufacturing and vehicle analysis, utilizing advanced data science and analytics techniques. Responsibilities include developing strategies for machine learning applications, executing simulations, supporting AI initiatives, and interfacing with senior management.
Summary Generated by Built In

Job Number: 69062
Group: Magna Corporate
Division: Stronach Center for Innovation
Job Type: Permanent/Regular
Location: AURORA
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
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 Senior 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 and vehicle data analysis. 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'd love to hear from you.
Your Responsibilities
• Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.
• Develop strategy and 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 ML 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 7+ 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 10+ years of experience in industry with a focus on data analytics and/or computer vision.
• PhD preferred
Your preferred qualifications
• Experience with a wide variety of ML and AI techniques and algorithms
• Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation
• Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda
• Knowledge of C++
• Experience with agile project management and related tools such as Confluence and JIRA
• Experience with cloud-based tools by Microsoft, AWS, Databricks
• Analytic tools and languages for statistical and machine learning models, especially Python
• Deep Learning frameworks and tools such as TensorFlow
• Data management using PySpark and SQL
• DevOps - GIT, Docker, CI/CD
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
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.

Top Skills

C++
Python

What the Team is Saying

Doug
Dave
Sam
Leo
Jim
Sreeni
The Company
HQ: Aurora, Ontario
171,000 Employees
Hybrid Workplace
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries.

We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Teams

Team
Organized for Innovation
About our Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
US Headquarters - Troy, Michigan
Pune, Maharashtra, India
Monterrey, Mexico
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Munich, Germany
Sailauf, Germany
Saltillo, Mexico
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