Job Requirements 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