Data Analytics Internship (Retail Performance)

Position Summary

Samsung Electronics America Inc. is now accepting applications for its Summer 2026 Intern Program. This exciting opportunity offers a paid 10-week experience for selected UNDERGRAD OR GRAD (based on HM request) students. The program will run from June 1 to August 7.

Eligible students will be seniors or recent graduates possess U.S. work authorization and be able to work full-time on a 5-day-per-week on-site schedule. Additionally participation in this program requires that you be located in the United States for the duration of the engagement.

Applications will be reviewed on a rolling basis so early submission is encouraged. The application window is open until March 15 2026; however it may close earlier if all available roles are filled. Applications submitted after the application window or once a role is closed/projects are full will not be considered.

Headquartered in Englewood Cliffs N.J. Samsung Electronics America Inc. (SEA) the U.S. Sales and Marketing subsidiary is a leader in mobile technologies consumer electronics home appliances enterprise solutions and networks systems. For more than four decades Samsung has driven innovation economic growth and workforce opportunity across the United Statesinvesting over $100 billion and employing more than 20000 people nationwide. By integrating our large portfolio of products services and AI technology were creating smarter sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co. Ltd. To learn more visit . For the latest news visit and Responsibilities

Position Summary

This internship opportunity is with the Retail Performance Analytics team which focuses on evaluating and improving store tiering Go-to-Market (GTM) strategy and overall retail performance through data-driven insights. As an intern you will support tiering post-mortem evaluations by analyzing historical performance designing and executing A/B testing and applying classification and machine learning techniques to refine tiering methodologies. You will collaborate with analytics and business stakeholders to translate model outputs into actionable recommendations that enhance store coverage training effectiveness and sales performance.

Responsibilities

• Conduct in-depth analysis of historical retail performance data to identify trends and insights.
• Design and execute A/B testing experiments to evaluate the effectiveness of store tiering strategies.
• Apply classification and machine learning techniques to refine and improve tiering methodologies.
• Collaborate with cross-functional teams to translate analytical findings into actionable business recommendations.
• Develop and present data visualizations and reports using tools like Excel PowerPoint or Tableau.
• Support the evaluation of Go-to-Market (GTM) strategies by analyzing their impact on retail performance.
• Assist in the development of predictive models to forecast store performance and optimize resource allocation.
• Contribute to the documentation of analytical processes and methodologies for future reference.

Qualifications

Education:

• Currently pursuing a Masters Degree.
• Preferred academic fields of study: Data Science Statistics Computer Science Analytics or a related field.
• Final-year students or recent graduates are strongly preferred.

Skills:

• Currently pursuing a degree in Data Science Statistics Computer Science Analytics or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of retail sales performance or GTM concepts is a plus.
• Good communication skills and the ability to work in a cross-functional team environment.

Technical Skills:

• Experience with data analysis and statistical testing (A/B testing hypothesis testing).
• Machine learning fundamentals especially classification models (e.g. logistic regression random forest gradient boosting).
• Data processing and modeling using Python or similar tools.
• Ability to visualize and present insights clearly using tools like Excel PowerPoint or Tableau.

This internship offers a unique opportunity to apply your analytical skills in a real-world retail environment while gaining hands-on experience with advanced data science techniques.

Skills and Qualifications

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Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application you have a disability and require a reasonable accommodation in order to participate in the application process please contact our Reasonable Accommodation Team ) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.