Data Scientist

Job Description

Your Recipe For Impact — What You’ll Do

As a Data Scientist Intern, you’ll support the development of data‑driven solutions that help teams better understand business challenges and unlock meaningful insights. Your work will help Make a Difference by contributing to models, analyses, and tools that influence smarter decision‑making. You’ll Serve with Heart by taking pride in clean data, well‑documented code, and reliable outputs. By collaborating closely with teammates in an Agile environment, you’ll Win as One, and by experimenting, learning new technologies, and tackling real‑world problems, you’ll Move Forward Boldly as you grow your technical and analytical skills.

Day-to-Day Ingredients — Responsibilities

As a Data Scientist Intern, you will:

• Support proof‑of‑concept models and analytical tools based on business needs
• Write, test, and maintain clean, well‑documented Python code
• Extract and analyze data using SQL to support projects and insights
• Clean, organize, and prepare structured and unstructured datasets
• Assist with feature engineering and data preparation efforts
• Use modern development tools (e.g., Git, notebooks, cloud platforms)
• Document processes, code, and analytical outputs
• Participate in Agile ceremonies, sprint work, and team collaboration
  

What You Bring To The Table — Required Experience

As a Data Scientist Intern, you must have:

• Current enrollment in an Associate or Bachelor’s degree program (80+ hours completed)
• Foundational knowledge of data analysis, statistics, or computer science concepts
• Basic experience with Python or similar programming languages
• Familiarity with SQL or relational data concepts
• Strong problem‑solving and critical‑thinking skills
• High attention to detail and data accuracy
• Ability to learn quickly and take direction in a team environment
• Strong organization and time‑management skills
  

Extra Toppings — Desired Experience

As a Data Scientist Intern, we prefer you to have:

• Exposure to machine learning, predictive modeling, or analytics coursework
• Experience working with real‑world datasets or class projects
• Familiarity with data notebooks, version control, or cloud platforms
• Interest in applying data science in a business or operational setting

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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