
Data Science Engineer Intern
- Richardson, TX
- $31.00-42.00 per hour
- Training
- Full-time
- Challenging, skill-building assignments
- Mentoring and coaching from industry experts
- Launch & Learns and other learning opportunities
- Collaborative team-based work environment
- Networking and social events
- Final presentation to business leaders
- 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.
- 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.
- 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.