Intern - Data Scientist

Develop analytical and machine learning models to improve manufacturing performance and operational efficiency Build data pipelines for extraction, cleansing, outlier detection, and anomaly identification Apply supervised, unsupervised, and semi-supervised learning techniques on real production datasets Support digital transformation and automation efforts in a manufacturing environment Extract and manipulate data using SQL and large-scale query systems Clean and prepare data using statistical and programming techniques Build machine learning models using tools such as Python or R Work with distributed computing systems including Spark and Hadoop-based tools Support automation and analysis workflows for manufacturing datasets such as time-series and images Collaborate with multi-functional teams to translate technical findings into actionable insights Development of strong communication and problem-solving skills through cross-team collaboration Supports data-driven decision-making in manufacturing Improves production efficiency, yield, and process stability Contributes to long-term digital transformation and automation initiatives Experience with Manufacturing Execution Systems Strong interest in building a career in data science Knowledge in statistical modeling and machine learning Experience with Python or R Ability to write efficient and maintainable code Familiarity with SQL Interest or experience in distributed computing systems (Spark, Hadoop) Strong communication and documentation skills Experience with time-series, image data, or semi-supervised learning Knowledge of JavaScript or data visualization (Tableau) Exposure to manufacturing systems or semiconductor processes Experience with TensorFlow or other deep learning frameworks