Key Responsibilities

Build, validate, and maintain machine learning models for forecasting, classification, regression, anomaly detection, and business analytics. Perform data cleaning, feature engineering, model evaluation, and performance monitoring to ensure reliable and scalable solutions. Develop data pipelines, automation workflows, and analytical solutions using Python and SQL. Analyze business data to identify trends, risks, opportunities, and key performance drivers, translating findings into actionable recommendations. Collaborate with business, operations, finance, and technology teams to understand requirements and deliver measurable analytical outcomes. Communicate model assumptions, limitations, and results effectively to both technical and non-technical stakeholders. Own data science projects end-to-end, including requirement gathering, development, deployment, and stakeholder management. Mentor junior team members and contribute to improving data science best p...