Entry Level Data Scientist with AI Focus

The Role – What You’ll Do

The individual in this role will join a talented and collaborative team of digital solutions professionals. This person will support teams and work with various clients on data engineering, data science, artificial intelligence, and agentic systems. Work may also involve working with digital twins, management information systems, and bolstering internal digital technology capabilities.

The ideal candidate for this position will meet internal and external client needs with exceptional client service and professionalism. They are adaptable, have strong problem-solving skills and have a desire to learn. They also have a strong team mentality with a willingness to assist where needed to contribute to the group’s success.

Your Impact – Key Responsibilities

• Create, deploy, and maintain artificial intelligence workflows.
• Implement agent scaffolding to optimize instructions, skills, tools, and context retrieval.
• Orchestrate teams of agents and subagents.
• Design, test, and deploy machine learning models.
• Perform data analysis, including data cleansing, data quality reviews, data visualization, statistical analysis, and model development and deployment.
• Integrate data sources and support building of data pipelines.
• Perform reviews to improve the accuracy of the data warehouse and reporting.
• Participate in Barr’s Data Resource Group and support technology for a wide variety of engineering, environmental, and scientific project work.
• Participate in process improvements and special projects as assigned by data scientists and engineers.

About The Opportunity

Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Minneapolis, Minnesota, office.

Travel expectation: this role may require up to 5% of time spent travelling; may vary depending on client needs and project commitments.

About You – Required Core Competencies

• Education: bachelor’s degree or relevant equivalent experience in computer science, data science, artificial intelligence, or a related program, such as engineering with an emphasis on data science.
• Software: experience with Azure or similar cloud computing platforms. Experience with Python.
• Experience building and implementing artificial intelligence workflows.
• Experience with processing unstructured data via large language models.
• Excellent oral and written communication skills.
• Excellent attention to detail, accuracy, time management, and follow-through.
• Driver’s license: possession of a current, valid driver’s license and acceptable driving record.
• Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Compensation

Anticipated range of $75,000–$90,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.

Benefits - What We Offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

• Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care.
• Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock.
• Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders.
• Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities.
• Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave.
• Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities.

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About Us - Why Choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Key skills/competency

• Artificial Intelligence
• Machine Learning
• Data Engineering
• Data Analysis
• Python
• Azure
• Large Language Models
• Agentic Systems
• Data Visualization
• Problem-solving