Senior Data Analytics Lead
3 days ago
Magna International envisions a future with no limitations in mobility. With over 65 years of experience, we innovate interconnected products and complete vehicle expertise to advance global transportation.
Our team at Magna Corporate's Stronach Center for Innovation challenges the status quo and drives new, inventive ideas.
Job Description: Senior Data Analytics LeadWe are seeking an experienced Senior Data Analytics Lead to lead and inspire the adoption of data science, analytics, and computer vision across projects. The ideal candidate will 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:
- Estimated Salary: $120,000 - $180,000 per year
- 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. We 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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