Responsibilities
Develop and deliver end-to-end data science solutions, including data exploration and preparation, feature engineering, model development, validation, interpretation, and communication of insights. Support enterprise AI and analytics initiatives by building and evaluating models and collaborating with data science, engineering, and business partners to advance solutions toward production readiness.
Requirements
The role calls for an experienced data scientist with strong applied machine learning, statistical modeling, analytics, and analytical problem-solving skills, plus expert knowledge of SQL and Python. Hands-on experience with predictive modeling, forecasting, experimentation, A/B testing, feature engineering, model evaluation, and insight generation is expected; visualization and cloud platforms such as Azure, Azure ML, Databricks, and MLflow are assets.