Data Scientist

Job Summary

To manage the end-to-end lifecycle of machine learning models, the full-time Data Scientist will work remotely, focusing on experimentation, model development, deployment, monitoring, and optimization within an AWS SageMaker Studio environment while collaborating with engineering, operations, and product teams.

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, feature engineering, 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, monitoring, and drift detection
• Experience writing SQL queries and working with structured data in cloud-based warehouses or relational databases