Senior Data Scientist

1 month ago

Aurora, Ontario, Canada Magna International Inc. Full time
About the Role

The Senior Data Scientist will be a key member of the data analytics team at Magna International Inc. In this role, you will use your expertise to solve data-related challenges in manufacturing operations and vehicle data analysis.

Your Responsibilities
  1. Lead the data projects, apply, and inspire the adoption of advanced data science, analytics, and computer vision across the team and projects.
  2. Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.
  3. Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.
  4. Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.
  5. Regularly interface with senior management to provide project updates.
  6. Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
Requirements

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.

Preferred Qualifications
  1. Experience with a wide variety of ML and AI techniques and algorithms
  2. Experience with computer vision, structured light based 3D reconstruction of point cloud or mesh, feature estimation
  3. Experience with optimization algorithms for processing time and memory, parallel processing and implementation / Cuda
  4. Knowledge of C++
  5. Experience with agile project management and related tools such as Confluence and JIRA
  6. Experience with cloud-based tools by Microsoft, AWS, Databricks
  7. Analytic tools and languages for statistical and machine learning models, especially Python
  8. Deep Learning frameworks and tools such as TensorFlow
  9. Data management using PySpark and SQL

Accommodations for disabilities in relation to the job selection process are available upon request.

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