Data Science Intern: Retail AI/ML Solutions (Paid)

Meijer Inc.; Grand Rapids (MI); Hybrid; USD 25,000 - 39,000; Full time

Benefits offered by this job

Weekly pay

Scheduling flexibility

Paid parental leave

Paid education assistance

Team member discount

Development programs for advancement

Job summary

Meijer in Grand Rapids, MI invites you to join its Data Science internship within Merchandising and Marketing to gain hands-on experience on real retail projects during the summer.

You'll collaborate with product and business teams to define, develop and implement data science‑based solutions, using SQL, Python, and cloud platforms, while enjoying career development and networking opportunities.

Qualifications

• Bachelor’s or Master’s Degree in Data Science, CS, Math, Statistics, Economics or related quantitative field.
• Customer focused— dedicated to meeting the expectations of internal and external customers.
• Relationship skills— can create positive working relationships with customers, team members, leadership, and other internal and external constituencies.
• Communication skills— conveys the right information in writing and verbally.

Responsibilities

• Work with product development and business teams to define, develop and implement a data science‑based solution.
• Collaborate with teams to leverage machine learning and AI platforms in Meijer’s Data Science initiatives.
• Gain exposure to cloud technology and analytics tools during the internship.

Skills

SQL

Python

R

Databricks

Analytical skills

Communication skills

Excel

Power BI

Tableau

Project management

Agile

Education

Bachelor’s or Master’s Degree in Data Science, CS, Math, Statistics, Economics

Tools

Databricks

Excel

PowerPoint

Tableau

Power BI

Job description

Meijer in Grand Rapids, MI invites you to join its Data Science internship within Merchandising and Marketing to gain hands-on experience on real retail projects during the summer.

You'll collaborate with product and business teams to define, develop and implement data science‑based solutions, using SQL, Python, and cloud platforms, while enjoying career development and networking opportunities.