Data Scientist - Fulltime (Aurora)

Job Responsibilities Support development of data analytics projects, applying data science, analytics, and computer vision to solve challenges in the manufacturing environment. Execute strategy and support 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 solutions with minimal supervision. Leverage internal and external expertise as required. Regularly interface with senior management to provide project updates. Occasionally responsible for hiring, leading, supervising, and evaluating indirect hires, such as summer students. Required Qualifications Experience with a broad range of machine learning and AI techniques, including computer vision and deep learning (e.g., TensorFlow). Strong proficiency in Python for statistical analysis, machine learning, and data‑driven solution development; working knowledge of C++. Experience with data management and processing using PySpark and SQL. Familiarity with cloud platforms and tools such as Microsoft Azure, AWS, and Databricks. Experience working in agile environments, including tools such as JIRA and Confluence, and DevOps practices (Git, Docker, CI/CD). Self‑motivated, curious, and collaborative, with a willingness to learn, ask questions, and build strong cross‑functional relationships. Compensation Salary: $90,000 - $110,000 annually. Benefits Hybrid work policy Wellness programs and events On‑site cafeteria Parking for electric vehicles Access to private park for employees and their families Accommodation and Hiring Information 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. Equal Chance Statement 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 color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. Apply on Kit Job: kitjob.ca/job/2o3nd2