SoftwareEngineer-DataScientist

**Junior Data Scientist** Full-Time · 4-5 Years Experience **Department** Data Science & AI **Location** Hybrid / On-site **Experience** 4-5 Years **Employment Type** Full-Time **Notice Period** Immediate Joiners Preferred **About the Role** We are hiring a Junior Data Scientist who is passionate about solving complex business problems using data, machine learning, and AI. The ideal candidate has a strong foundation in Python, hands-on experience with ML frameworks, and exposure to Microsoft Azure cloud services. You will work on developing scalable ML models, deploying AI solutions, and deriving actionable insights from large datasets. **Key Responsibilities** * Design, build, and evaluate machine learning models for classification, regression, forecasting, and NLP use cases. * Develop and maintain data pipelines using Python and Azure Data Factory / Azure Databricks for ETL and feature engineering. * Deploy ML models on Azure Machine Learning (Azure ML) using endpoints, pipelines, and MLflow tracking. * Collaborate with data engineers to ensure data quality, availability, and governance across Azure Data Lake and Azure Synapse Analytics. * Apply AI/GenAI capabilities (Azure OpenAI, Cognitive Services) to build intelligent applications and automation workflows. * Monitor model performance in production, identify drift, and implement retraining strategies. * Translate business requirements into data science problem statements and communicate findings to stakeholders. * Participate in code reviews, documentation, and adherence to ML Ops best practices. **Required Skills & Qualifications** * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field. * 0–2 years of professional or project-based experience in data science or machine learning. * Strong proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM). * Hands-on experience with Microsoft Azure services: Azure ML, Azure Databricks, Azure Data Factory,