Summer Intern, Supply Chain AI Analyst

As a Summer Intern, Supply Chain AI Analyst at Samsung Electronics, your primary tasks include learning the business to understand inputs for the AI/ML model, gathering and cleaning data, applying statistical modeling for insights, and participating in brainstorming sessions to enhance model performance. You will also engage with leadership to summarize your findings and recommendations, making a significant impact on our supply chain strategies.

To apply for the Summer Intern, Supply Chain AI Analyst position at Samsung Electronics, candidates must have a bachelor’s degree (ideally in Engineering, Mathematics, AI/ML, or Information Technology) and be pursuing a master’s degree related to AI/ML, Supply Chain, or Business Analytics. Strong analytical and mathematical skills, familiarity with AI/ML concepts, and proficiency in Excel are essential qualifications for this role.

As a Summer Intern, Supply Chain AI Analyst at Samsung Electronics, you will develop a range of valuable skills, including advanced data analytics, statistical modeling, and problem-solving capabilities. You'll enhance your understanding of supply chain operations and AI/ML frameworks, all while honing your communication skills through interactions with leadership and team collaborations. This internship provides a fantastic platform for personal and professional growth.

The Summer Intern, Supply Chain AI Analyst position at Samsung Electronics does not currently offer relocation or housing assistance, which implies that this role is likely to be on-site in Plano, TX. However, the company fosters a dynamic environment where you will collaborate closely with your teammates and leadership to make impactful contributions.

Samsung Electronics is committed to fostering an inclusive culture and a diverse workforce. The company believes that innovation and growth stem from a team where everyone feels a sense of belonging and has equal opportunities. They actively promote diversity through equitable employment practices and strive to create a collaborative environment that encourages everyone to express their true selves.

When answering this question, highlight relevant coursework, projects, or personal experiences where you applied AI/ML concepts. Discuss specific algorithms or frameworks you are familiar with and how you've used them to solve problems or analyze data, making sure to connect your background to the responsibilities of the Summer Intern role.

In your response, discuss the importance of collaborating with cross-functional teams to understand business needs. Mention techniques for gathering data from reliable sources and how you would ensure that the data is comprehensive and relevant, thereby fostering improved model accuracy and reliability.

You should highlight a specific instance where you presented your findings. Focus on how you organized the data, tailored your insights for your audience, and used visuals effectively. Discuss your approach to answering questions and addressing feedback, showcasing your communication skills and your ability to engage your listeners.

Talk about your habits for staying informed, such as following industry blogs, participating in online courses, or attending webinars and conferences. Mention specific resources you trust and how you apply this knowledge to your studies or projects, which will show your commitment to continuous learning in the field.

Discuss potential challenges such as data quality, integration with existing systems, and the need for organizational buy-in. Explain how your analytical reasoning and creative problem-solving skills can help address these challenges and improve the supply chain's efficiency through effective AI/ML deployment.

Highlight the processes you’ve learned or used for data cleansing, including techniques for handling missing values, outliers, or erroneous entries. Explain why data quality is critical for accurate analysis and decision-making, and how your attention to detail contributes to the integrity of data insights.

Mention specific statistical modeling techniques you have studied, such as regression analysis, clustering, or time series forecasting. Explain how these techniques can help derive insights from supply chain data and how you would implement them in real-world scenarios at Samsung to enhance operational efficiency.

Discuss your organizational skills, perhaps mentioning tools or methods you utilize to keep tasks organized. Talk about how you assess the urgency or impact of each project and how you remain flexible to adapt to shifting priorities while meeting deadlines.

Your answer should reflect a genuine interest in the intersection of technology and supply chain management. Discuss your admiration for Samsung as a global leader in innovation and how this internship aligns with your career aspirations in AI/ML, emphasizing your eagerness to contribute to the team.

Emphasize your openness to feedback and your commitment to improvement. Provide an example of a time you received constructive criticism, how you implemented suggestions, and how it positively impacted your work, showcasing your growth mindset and adaptability.