Samsung Care AI Data Analytic Intern

Samsung Electronics is hiring a Samsung Care AI Data Analytic Intern. Level rates it ; you can apply on Samsung Electronics.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
Level classifies it as an internship.
Level lists 621 other open roles at Samsung Electronics.
The role was posted in the last few days.

AI in this role

PyTorchTensorFlowscikit-learn

nlp

Position Summary

This role is not eligible for immigration sponsorship
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 States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re 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 Samsung.com. For the latest news, visit news.samsung.com/us.

Field service team is at the frontline of our home appliance service, dedicated to delivering the best customer experience by ensuring cx satisfaction & streamlining processes, and developing strategies for ongoing improvement and growth. Monitor KPIs, anaylze cx feedback and implement improvement using data insights. Collaborate with sales, other teams for 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 to contribute to the team's success.
• Applying machine learning techniques to solve complex data problems
• Utilizing natural language processing for data-driven insights
• Engaging in predictive modeling to forecast trends and outcomes
• Supporting data engineering projects with a focus on data quality and integrity

Role and Responsibilities

Programming: Python is essential (with libraries like NumPy, Pandas, Scikit-learn); SQL for data handling is also key; R, Java, C++ can be beneficial.
Machine Learning: Understanding core ML concepts (supervised/unsupervised learning, regression, clustering) and algorithms.
AI Frameworks: Experience with TensorFlow, PyTorch, or similar deep learning/AI libraries.
Data Handling: Skills in data wrangling, cleaning, and using tools like Spark/Hadoop for large datasets.
Mathematics/Statistics: Strong grasp of linear algebra, calculus, and statistics.
AI Concepts: Familiarity with newer areas like LLMs, NLP, or Reinforcement Learning (RL) is a plus.

Skills and Qualifications

Academic Major Preferred: Master's

Currently enrolled in a Bachelor's or Master's, Computer Science, Data Science, Statistics, Math, or a related quantitative field.
Often a strong academic record (e.g., GPA 3.0+) is preferred.
Preferred to have technical & professional experience.

#LI-HM1

Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/

Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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 process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

How we rate this

Samsung Care AI Data Analytic Intern at Samsung Electronics rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Samsung Care AI Data Analytic Intern is an open job at Samsung Electronics.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in 6625 Excellence Way, Plano, TX, USA.
The job was posted on November 6, 2026.
Seniority: intern.
Applications are handled by Samsung Electronics. Apply on Samsung Electronics

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPPyTorchTensorFlowscikit-learn

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: NLP, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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