Senior Data Scientist

This role leads research, development, and deployment of scalable ML/DL models addressing manufacturing challenges, including yield forecasting, anomaly detection, and unsupervised learning. You will own data pre-processing, cleaning, transformation, and exploratory data analysis on large, wide tabular datasets in collaboration with data engineers and scientists. You will evaluate and optimize models with metrics, hyperparameter tuning, feature engineering, and ensemble/continuous learning techniques to ensure accuracy, reliability, and scalability. You will collaborate with software engineers and DevOps to deploy models into production and ensure real-time inference with robust monitoring and maintenance. You will work with cross-functional teams to translate business requirements into ML solutions and establish best practices in experimentation and evaluation. You will bring at least 5 years of experience, demonstrate clustering expertise, and stay current with ML trends, including NLP/LLM where relevant.