Summary from listing
The role focuses on hands-on data science, including statistical and machine learning modeling, feature engineering, data analysis, pipeline development, model deployment, and basic MLOps. The candidate will analyze structured and unstructured data, build predictive models, create reports and dashboards with Power BI and Python, validate data, and communicate insights to technical and business stakeholders. Required qualifications include retail forecasting, Python machine learning libraries, SQL, GitHub, advanced Excel, cloud development environments, and Teradata experience.
