Samsung Care AI Data Analytic Intern

Samsung Electronics • Plano, TX

2d

About The Position

Samsung Electronics America’s field service team supports home appliance service by working to improve customer satisfaction, streamline processes, and develop strategies for continued improvement and growth. The team monitors KPIs, analyzes customer feedback, and uses data insights to guide improvements while collaborating with sales and other teams to deliver a seamless customer experience.

As an AI Engineering/Data Scientist Intern, you will support teams by participating in projects, observing professional work environments, and conducting research. You will apply machine learning techniques to complex data problems, use natural language processing to generate data-driven insights, engage in predictive modeling, and support data engineering projects focused on data quality and integrity. This role is not eligible for immigration sponsorship.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Math, or a related quantitative field.
• Programming skills in Python, including familiarity with 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 or AI libraries.
• Data wrangling and cleaning skills.
• Strong grasp of linear algebra, calculus, and statistics.

Nice To Haves

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

Responsibilities

• Participate in projects, observe professional work environments, and conduct research to contribute to the team's success.
• Apply machine learning techniques to solve complex data problems.
• Use natural language processing for data-driven insights.
• Engage in predictive modeling to forecast trends and outcomes.
• Support data engineering projects with a focus on data quality and integrity.

What This Job Offers

• Career Level: Intern