Responsibilities
Collect, prepare, and analyze structured and unstructured data; develop, evaluate, optimize, deploy, and monitor machine learning models. Communicate insights through dashboards and reports, maintain analytical workflows, collaborate with business and technical teams, and document methods and results.
Requirements
Requires strong programming skills in Python or R, knowledge of statistics, probability, machine learning, SQL, databases, and data visualization. Familiarity with supervised and unsupervised learning, feature engineering, model evaluation, hyperparameter tuning, and version control is expected; deep learning, cloud, MLOps, and big-data experience are preferred.
