Samsung Care AI Data Analytic Intern

Samsung • Plano, TX

1d

About The Position

Samsung Electronics America’s field service team supports home appliance service by improving customer satisfaction, streamlining processes, and developing strategies for continued improvement and growth. The intern will support teams by participating in projects, observing professional work environments, and conducting research. The work includes applying machine learning to complex data problems, using natural language processing to generate data-driven insights, predictive modeling to forecast trends and outcomes, and supporting data engineering projects focused on data quality and integrity. The role is not eligible for immigration sponsorship.

Requirements

• Currently enrolled in a bachelor's or master's program in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Python proficiency, including libraries such as NumPy, Pandas, and Scikit-learn.
• SQL skills for data handling.
• Understanding of core machine-learning concepts, including supervised and unsupervised learning, regression, clustering, and related algorithms.
• Experience with TensorFlow, PyTorch, or similar deep-learning/AI libraries.
• Data wrangling and cleaning skills.
• Strong understanding of linear algebra, calculus, and statistics.

Nice To Haves

• R, Java, or C++ programming experience.
• Experience with Spark or Hadoop for large datasets.
• Familiarity with LLMs, NLP, or Reinforcement Learning.
• Strong academic record, such as a GPA of 3.0 or higher.
• Technical and professional experience.
• Master’s degree-level study is preferred.

Responsibilities

• Apply machine learning techniques to solve complex data problems.
• Use natural language processing to derive data-driven insights.
• Engage in predictive modeling to forecast trends and outcomes.
• Support data engineering projects, focusing on data quality and integrity.
• Participate in team projects, observe professional work environments, and conduct research.
• Monitor KPIs, analyze customer feedback, and use data insights to support improvements.
• Collaborate with sales and other teams to support a seamless customer experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed