Responsibilities
Develop and evaluate end-to-end data science solutions, from data exploration and preparation through feature engineering, model development, validation, interpretation, and communication of insights. Support enterprise AI and analytics initiatives by collaborating with technical and business partners and helping prepare solutions for production.
Requirements
The role calls for strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with 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 data science tools are assets.
