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Magna

Data Scientist

8.0/10

Magna

$90,000 – $90,000 USD
Remote
mid
22 days ago
aidatatechPythonMachine LearningComputer VisionAIPySparkSQLMicrosoft AzureAWSDatabricks

AI Summary

The vacancy is well-structured with clear responsibilities and compensation, but lacks some details on seniority and company links.

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Description

What you'll do

  • •Support development of data analytics projects, apply 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 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.

Conditions

  • •Hybrid work policy.
  • •Wellness programs and events.
  • •On-site cafeteria.
  • •Parking for electric vehicles.
  • •Access to private park for employees & their families.

Requirements

  • •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.
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