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