Senior Data Scientist - Machine Learning

Key Responsibilities: - Lead and mentor a team of data scientists and analysts; provide technical guidance and ensure high-quality deliverables. - Design, develop, and optimize machine learning models (classification, regression, clustering, forecasting, etc.). - Build and maintain big data processing pipelines using PySpark, Spark SQL, and distributed computing environments. - Architect and deploy scalable ML solutions on Azure (Azure Databricks, Azure ML, ADLS, ADF). - Oversee feature engineering, model lifecycle management, monitoring, and performance tuning. - Collaborate with cross-functional teams to translate business needs into analytical solutions. - Present insights, model outputs, and recommendations to technical and business stakeholders. Required Skills: - 10+ years of hands-on experience in data science and ML development. - Strong hands-on experience in leading complex analytical problem solving using traditional ML architecture (like supervised and unsupervised learning, time series and Deep learning) along with strong team leadership capabilities. - Expertise in Python, PySpark, scikit-learn, XGBoost, and related ML libraries. - Strong experience with Azure data and ML services. - Solid understanding of distributed computing and performance optimization using Spark. - Proven ability to lead technical teams, conduct code reviews, mentor juniors, and manage project execution. - Excellent communication, stakeholder management, and problem-solving skills. - Experience with MLOps practices and CI/CD pipelines.