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M
Meijer
Data Science Intern - Summer 2027
Entry-Level JobVerifiedNo experience needed
Career Insights for Data Scientist
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Scorecard
Based on Michigan data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$98,181 / year median in Michigan
+16% projected growth
Job Description
As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family
- take care of your career and your community!
The internship program includes:
Challenging and impactful projects Final presentations delivered to senior executives Execu tive Leadership speaker series Professional development and training opportunities Networking and community events Events highlighting key areas of the business What you will be doing as aData Science Intern :
Meijer is seeking candidates for an Merchandising and Marketing internship opportunity in our Data Science area. Join our program to get experience in your field while also learning more about the retail industry and the breadth of career opportunities that support the customer shopping experiences. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Our Interns will have the opportunity to work directly with teams with product development and business teams to define, develop and implement a data science-based solution. Over the course of the summer the intern will have the opportunity to work with the latest cloud technology including machine learning and artificial intelligence platforms.Qualifications :
Progress toward a Bachelor's or Master's Degree- Data Science, Computer Science, Mathematics, 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.
Programming Languages:
Proficiency in SQL, Python, R, and cloud-based platforms like Databricks.Analytical Skills:
Expertise in data mining, statistical modeling, and machine learning.Reporting and Visualization Tools:
Experience with Excel, PowerPoint, Tableau, Power BI, and similar tools.Project Management:
Familiarity with Agile methodology and project management principles and practices.Possible career path opportunities:
Data and Analytics Development Program Data ScientistBenefits
- Professional Development
- Parental Leave