{"id":3907275,"url":"https://alion.io/job/samsung-electronics-samsung-care-ai-data-analytic-intern","title":"Samsung Care AI Data Analytic Intern","company":{"id":166,"name":"Samsung Electronics","domain":"samsung.com","url":"https://alion.io/company/samsung","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":142,"ghost_share":0.007,"stale_share":0.556,"repost_share":0.063,"time_to_fill_p50_days":36,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Core ML","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-11T23:47:19Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Position Summary\nThis role is not eligible for immigration sponsorshipHeadquartered 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.\nField 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.\nAs 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.\nApplying machine learning techniques to solve complex data problems\nUtilizing natural language processing for data-driven insights\nEngaging in predictive modeling to forecast trends and outcomes\n• Supporting data engineering projects with a focus on data quality and integrity\nRole and Responsibilities\nProgramming: Python is essential (with libraries like NumPy, Pandas, Scikit-learn); SQL for data handling is also key; R, Java, C++ can be beneficial.\nMachine Learning: Understanding core ML concepts (supervised/unsupervised learning, regression, clustering) and algorithms.\nAI Frameworks: Experience with TensorFlow, PyTorch, or similar deep learning/AI libraries.\nData Handling: Skills in data wrangling, cleaning, and using tools like Spark/Hadoop for large datasets. \nMathematics/Statistics: Strong grasp of linear algebra, calculus, and statistics.\nAI Concepts: Familiarity with newer areas like LLMs, NLP, or Reinforcement Learning (RL) is a plus. \nSkills and Qualifications\nAcademic Major Preferred: Master's\nCurrently enrolled in a Bachelor's or Master's, Computer Science, Data Science, Statistics, Math, or a related quantitative field.\nOften a strong academic record (e.g., GPA 3.0+) is preferred.\nPreferred to have technical & professional experience. \nLife @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/\nBenefits @ Samsung - https://www.samsung.com/us/careers/benefits/\n* 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.\nAt 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.\n* 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.\n Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process\nSamsung 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  for assistance. 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