Key Responsibilities Develop and maintain predictive models for business decision-making Design and implement feature engineering pipelines Perform exploratory data analysis to identify trends and drivers Build segmentation and cohort analyses Evaluate and refine model performance Translate insights into actionable business recommendations Create dashboards and visualizations Collaborate with engineering teams for model deployment Ensure data quality and reproducibility Required Qualifications 5+ years in Data Science / ML / Advanced Analytics Strong Python skills (pandas, numpy, scikit-learn) Experience in feature engineering and model development Exposure to large-scale data (Spark, Databricks) Strong SQL and data warehousing knowledge Solid understanding of statistical and ML techniques Experience with visualization tools (Power BI, matplotlib, seaborn) Preferred Qualifications Experience with Azure Exposure to MLOps and end-to-end ML pipelines Strong stakeholder collaboration skills
