Data Science Professional

The candidate will be required on Deqodes payroll.

Must Have Skills- Classification Modeling & Logistic Regression, Python

Skills: Python, PySpark, SQL, Azure Databricks, Machine Learning (Regression & Classification), Feature Engineering, ML Model Deployment, Git, MLflow, Optimization Techniques, CI/CD, MLOps, Azure DevOps, Azure Data Factory (ADF).

Experienced Data Scientist with 5+ years in Machine Learning and Data Science, specializing in developing and deploying regression and classification models using Python, PySpark, SQL, and Azure Databricks.
Hands-on expertise in large-scale data analysis, feature engineering, model optimization, and end-to-end ML lifecycle management, with proficiency in Git and cloud-based distributed data platforms.
Develop and deploy machine learning models focused on regression and classification problems. Perform large-scale data analysis and feature engineering using PySpark and SQL.
Work with big data platforms such as Azure Databricks to process and analyze data.
Apply statistical techniques and machine learning algorithms to generate actionable insights.
Collaborate with cross-functional teams to identify business problems and translate them into data science solutions.
Optimize model performance using advanced techniques and ensure scalability.
Manage the complete model lifecycle including data preparation, training, validation.