Data Scientist

Job Summary

To manage the end-to-end lifecycle of machine learning models, the full-time Data Scientist will leverage strong experience in machine learning engineering and MLOps, collaborating with cross-functional teams to build scalable ML solutions in an AWS SageMaker Studio environment.

Key Responsibilities

• Design, build, and evaluate machine learning models that support business initiatives across various departments
• Manage the complete machine learning workflow, including data preparation, model training, validation, deployment, and monitoring
• Develop and maintain MLOps pipelines within AWS SageMaker Studio, ensuring effective experiment tracking and model versioning

Required Qualifications

• 3+ years of experience in data science or a related field with hands-on involvement in ML engineering and MLOps
• Strong Python programming skills for machine learning and data analysis using tools such as pandas, scikit-learn, PyTorch, or TensorFlow
• Practical experience using AWS SageMaker Studio for developing, training, and deploying machine learning models
• Solid understanding of MLOps concepts including pipeline automation, model versioning, and monitoring
• Experience writing SQL queries and working with structured data in cloud-based warehouses or relational databases