Data Science Intern

Job Description

Join Pella Corporation as a Data Science Intern to analyze data, develop AI models, and innovate in window and door manufacturing.

Your Role

Key responsibilities include:
• Analyze large datasets from production, sales, and other sources to uncover valuable insights and identify trends.
• Assist in developing and training machine learning models, including those leveraging LLMs and generative AI.
• Contribute to the implementation of AI-powered solutions for product design optimization, manufacturing automation, and quality inspection.
• Work closely with cross-functional teams to understand their needs and ensure successful integration of AI solutions.

About You

The company is looking for:
• Pursuing a degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Interest in machine learning, deep learning, and AI applications.
• Ability to work independently and as part of a team.

Preferred qualifications:
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, ggplot).
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
• Previous experience with internships or research projects in data science or AI.

Compensation & Benefits
• Gain hands-on experience in a cutting-edge field.
• Work on real-world projects with a tangible impact.
• Learn from experienced data scientists and engineers.
• Opportunity for professional growth and development.

Training & Development
• Learn from experienced data scientists and engineers.
• Opportunity for professional growth and development.

How to Apply

Pella Corporation requires a post-offer background check and drug screen. The company participates in E-Verify and will provide SSA and DHS with information from each new employee’s Form I-9 to confirm work authorization. Pella is a tobacco-free work environment committed to workforce diversity.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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