Posted May 8, 2026
As a Data Science Lead specializing in Machine Learning (ML) and Big Data, your role will involve leading and mentoring a team of data scientists and analysts. You will be responsible for designing and developing ML models, including classification, regression, clustering, and forecasting. Your expertise will be utilized to build and manage big data pipelines using PySpark or Spark SQL. Additionally, you will play a crucial role in architecting and deploying scalable ML solutions on Azure platforms such as Databricks, Azure ML, ADLS, and ADF. Managing feature engineering, model lifecycle, monitoring, and optimization will also be part of your responsibilities. Collaborating with both business and technical teams to deliver analytical solutions is a key aspect of this role. Key Responsibilities:
Qualifications Required:
Strong hands-on experience in Python, PySpark, scikit-learn, XGBoost
Proficiency in Azure ML ecosystem and distributed computing using Spark
Expertise in supervised/unsupervised learning, time series, and deep learning
Experience in leading technical teams, mentoring juniors, and managing project delivery
Familiarity with MLOps and CI/CD pipelines This position is a full-time role requiring 8-13 years of relevant experience in the field. As a Data Science Lead specializing in Machine Learning (ML) and Big Data, your role will involve leading and mentoring a team of data scientists and analysts. You will be responsible for designing and developing ML models, including classification, regression, clustering, and forecasting. Your expertise will be utilized to build and manage big data pipelines using PySpark or Spark SQL. Additionally, you will play a crucial role in architecting and deploying scalable ML solutions on Azure platforms such as Databricks, Azure ML, ADLS, and ADF. Managing feature engineering, model lifecycle, monitoring, and optimization will also be part of your responsibilities. Collaborating with both business and technical teams to deliver analytical solutions is a key aspect of this role. Key Responsibilities:
Lead and mentor a team of data scientists and analysts
Design and develop ML models including classification, regression, clustering, and 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
Collaborate with business and technical teams to deliver analytical solutions
Qualifications Required:
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