Role : Data Science Lead (Predictive Analytics & ML) :

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.