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