Job Description

Responsibilities

may include:
  • Train, test, and deploy machine learning and AI models in Python, leveraging Spark and/or AWS as needed.

  • Analyze large datasets to uncover insights that optimize process and product performance, increase yields, and reduce costs.

  • Develop and evaluate predictive, diagnostic, and prescriptive models to support business decisions.

  • Implement reproducible research practices including version control, testing, and documentation.

  • Collaborate with engineers and data scientists to translate business challenges into data-driven solutions.

    • Qualifications:

  • Currently pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Math, or related field.

  • Minimum GPA of 3.0.

  • Proficiency in Python and core data science libraries (pandas, scikit-learn, matplotlib, etc.).

  • Experience with at least one deep learning or advanced ML framework...

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