Data Scientist Intern

Candidates should possess a strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects. Familiarity with machine learning, deep learning, and recommendation algorithms such as clustering and classification, with a deep understanding in at least one of them, is required. Candidates should have proficiency in at least one programming language, a grasp of basic data structures and algorithms, and preferably research experience demonstrated through academic publications. Experience with NLP techniques, including sentiment analysis, text summarization, and LLM fine-tuning, is also preferred. Familiarity with causal inference or optimization algorithms and big data experience, including distributed computation frameworks like Hadoop, Spark, and Hive, is highly desirable.