Data Science Leader in Automotive Innovation
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Job Description
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.
Responsibilities
- Lead 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.
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.
- 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.
- 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.
Benefits
- 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.
- 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.
Continue your search
Magna
The Senior Data Scientist will lead data science, analytics, and computer vision projects addressing manufacturing operations and vehicle data analysis.
Job offer are open to all, without discrimination and in gender equality.
Throughout the website, gender-specific terms may be used in order to ease the text flow.
data science leader in automotive innovation Job in the :sector Sector in Newmarket
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