Senior Data Scientist

Posted 2 Days Ago
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Lowell, MA
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 at Magna will design and develop advanced machine learning models, lead data-driven research projects, and collaborate with teams to optimize algorithms for operational efficiency in routing and logistics.
Summary Generated by Built In

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.
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.
Job Responsibilities:
We are seeking a highly skilled Senior Data Scientist specializing in routing, optimization, and logistics to join our team. You will lead the development of routing algorithms, vehicle routing problem (VRP) solutions, and optimization models to enhance operational efficiency. This role requires expertise in data science, operations research, and applied machine learning to solve complex route optimization, last-mile delivery, and supply chain challenges. #LI-Hybrid
Major Responsibilities:

  • Design, develop, and deploy advanced machine learning models and predictive analytics solutions.


  • Lead data-driven research projects to improve business processes, customer experiences, and operational efficiency.


  • Work with structured and unstructured data to uncover insights, trends, and patterns.


  • Develop scalable data pipelines and ensure data integrity for analytics and AI applications.


  • Collaborate with engineering, product, and business teams to define problems and propose data-driven solutions.


  • Optimize algorithms for performance, scalability, and interpretability.


  • Stay updated on emerging trends, technologies, and best practices in data science and AI.


  • Mentor and provide technical guidance to junior data scientists and analysts.


  • Communicate findings and recommendations to stakeholders through reports, dashboards, and presentations.


Work Experience and Education:

  • 7+ years of hands-on experience in data science, machine learning, and analytics.


Skills and Competencies:

  • Strong proficiency in Python or R, and experience with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy etc.


  • Expertise in SQL and working with large-scale databases.


  • Experience with cloud platforms such as AWS, Azure, or GCP.


  • Proficiency in data visualization tools (AWS QuickSight, Matplotlib, etc.).


  • Strong knowledge of statistical modeling, machine learning, deep learning, and optimization techniques.


  • Familiarity with GIS and geospatial tools (PostGIS, QGIS, OpenStreetMap, Valhalla, OSRM).


  • Experience with A/B testing and causal inference techniques.


  • Background in SLAM, NLP, time-series forecasting, or recommendation systems.


  • Exposure to business intelligence and data engineering practices.


  • Familiarity with MLOps practices, model deployment, and CI/CD pipelines.


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.
Worker Type:
Regular / Permanent
Group:
Magna Corporate

Top Skills

AWS
Aws Quicksight
Azure
GCP
Matplotlib
Numpy
Openstreetmap
Osrm
Pandas
Postgis
Python
PyTorch
Qgis
R
Scikit-Learn
SQL
TensorFlow
Valhalla

What the Team is Saying

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Dave
Sam
Leo
Jim
Sreeni
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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

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
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
Learn more

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