Data Science Intern

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Conduct data analysis on environmental and engineering datasets.

• Create processes that automate the transformation, analysis, and visualization of data.

• Engage with artificial intelligence and machine learning projects, including the deployment of agentic systems.

• Collaborate with teams to gather requirements and user stories for digital tools and processes.

• Contribute to process enhancements and special initiatives.

• Assist with data analysis, data infrastructure, artificial intelligence, and automation projects.

• Support both internal and client-facing initiatives.

⛳️ Requirements

• Currently enrolled in management information systems, computer science, data science, or a related field such as engineering with a focus on technology.

• Must have at least one semester remaining to complete after the internship.

• Basic knowledge of programming in Python, SQL, and/or other languages.

• Understanding of fundamental concepts related to artificial intelligence and machine learning.

• Familiarity with data systems and architectures.

• Proficient in Microsoft Outlook, Word, and Excel.

• Strong oral and written communication abilities.

• Excellent problem-solving skills and a strong eagerness to learn.

• Team-oriented with a readiness to assist wherever needed.

• Exceptional attention to detail, accuracy, time management, and follow-through.

• Valid driver’s license and an acceptable driving record.

• Must be legally authorized to work in the United States without sponsorship from Barr, now or in the future.

🏝️ Benefits

• Medical, dental, vision, life, disability, and accidental death insurance.

• Flexible spending accounts for medical and dependent care.

• 401(k) retirement savings plan with company contributions.

• Employee Stock Ownership Plan (ESOP) with company contributions in Barr stock.

• Annual bonus distribution plan.

• ESOP and dividends for shareholders.

• Annual professional development time and expense allowances.

• Mentorship program.

• Internal training opportunities.

• Paid time off.

• Holidays.

• Overtime compensation for non-exempt/hourly staff.

• Paid family leave.

• Compensatory time for exempt/salaried staff.

• Ergonomic analysis and equipment.

• Personal Protective Equipment allowance.

• Wellbeing-focused educational opportunities.

• Coaching, mentoring, and support for ongoing educational pursuits.