Data Science Lead - ML

Data Science Lead – ML & Big Data

Experience: 5–8 years

Key Responsibilities • Lead and mentor a team of data scientists and analysts • Design and develop ML models (classification, regression, clustering, forecasting) • Build and manage big data pipelines using PySpark / Spark SQL • Architect and deploy scalable ML solutions on Azure (Databricks, Azure ML, ADLS, ADF) • Manage feature engineering, model lifecycle, monitoring, and optimization • Work with business and technical teams to deliver analytical solutions

Required Skills • Strong hands-on experience in Python, PySpark, scikit-learn, XGBoost • Experience with Azure ML ecosystem and distributed computing using Spark • Expertise in supervised/unsupervised learning, time series, and deep learning • Experience leading technical teams, mentoring juniors, and managing project delivery • Familiarity with MLOps and CI/CD pipelines