Contract Senior Data Scientist

3 months ago


Aurora, Canada Data Privacy Full time
p>Magna International envisions a future with no limitations in mobility. As a leading mobility technology company with over 65 years of experience, Magna innovates with interconnected products and complete vehicle expertise to advance global transportation. The team at Magna Corporate's Stronach Center for Innovation is built to challenge the status quo and drive new, inventive ideas.
  • Lead and inspire the adoption of data science, analytics, and computer vision across projects
  • Develop strategies for statistical analysis, machine learning, AI tools for product development, manufacturing, and business processes
  • Plan and execute ML and AI initiatives, including small-scale implementations
  • Conceptualize and implement machine learning solutions with minimal supervision
  • Leverage internal and external expertise as needed
  • Regularly update senior management on project progress
  • Occasionally hire, lead, and evaluate indirect hires such as summer students

This role comes with the following benefits:

  • Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or related field with 7+ years of experience
  • Alternative: Bachelor’s degree in relevant field with 10+ years of experience
  • Strong background in data analytics and computer vision

You would benefit from having:

  • PhD preferred
  • Experience with diverse ML and AI techniques and algorithms
  • Computer vision and 3D reconstruction experience
  • Optimization algorithms and parallel processing skills
  • Knowledge of C++
  • Agile project management tools experience (Confluence and JIRA)
  • Experience with cloud-based tools (Microsoft, AWS, Databricks)
  • Proficiency in Python for statistical and machine learning models
  • Deep Learning frameworks (TensorFlow)
  • Data management with PySpark and SQL
  • Experience with DevOps tools (GIT, Docker, CI/CD)

Magna is an equal opportunity employer committed to a diverse and inclusive workforce. They consider all candidates regardless of color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Accommodation for disabilities during the selection process is available upon request.



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