Data Scientist to develop advanced analytical solutions and machine learning models that drive business value The role focuses on leveraging data applying statistical techniques and building scalable ML models using modern platforms such as Databricks MLflow and Azure ML
Skills
Mandatory Skills : Azure Machine Learning, Python - Data Science
Key Responsibilities
Machine Learning Model Development
Develop train and deploy machine learning models using Python Databricks Unity Catalog MLflow and workflows
Design and implement endtoend ML solutions including data preparation feature engineering model training and evaluation
Apply advanced algorithms across supervised unsupervised and deep learning use cases
Optimize model performance through hyperparameter tuning model selection and validation techniques
Data Engineering Feature Development
Perform data extraction transformation and analysis using SQL and PySpark
Create and refine features from raw datasets to improve model accuracy and predictive power
Ensure data quality by processing cleansing and validating datasets
Analytics Insights
Conduct exploratory data analysis EDA and data mining to uncover patterns trends and actionable insights
Develop analytical models to support strategic and operational decisionmaking
Perform ad hoc analysis and respond to business data requests
Model Deployment Lifecycle
Deploy models using modern ML platforms Databricks Azure ML
Maintain and enhance existing models ensuring performance and reliability
Collaborate with engineering teams for scalable production deployment and monitoring
Collaboration Communication
Work with crossfunctional stakeholders to identify AIMLdriven opportunities
Translate business problems into analytical solutions
Communicate findings through presentations dashboards and executive summaries
Documentation Governance
Maintain transparent documentation of models code and analytical processes