Data Science Engineer Intern

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 (PyTorch, TensorFlow, or Keras).
• Familiarity with Git and SQL.
• Curiosity, strong problem-solving skills, and ability to communicate findings clearly.

Preferred Qualifications:

• Understanding of Apache Spark or distributed computing.
• Experience with cloud-based environments (AWS, GCP, or Azure).
• Strong presentation and storytelling skills with data.
• Understanding of semiconductor physics fundamentals.

This position is not eligible for visa sponsorship by the Company.

Competitive hourly pay commensurate with experience: $31/hr-$42/hr (subject to change dependent on physical location). Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability. Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request.