Data Scientist

Job Summary

Seeking a Data Scientist with strong ML engineering and MLOps experience, the fully remote position will manage the entire model lifecycle, from research and experimentation to deployment and monitoring, while collaborating with engineering, operations, and product teams to drive business outcomes.

Key Responsibilities

• Develop, train, and evaluate machine learning models to address business challenges across various functions
• Own the full ML lifecycle, including data preparation, feature engineering, model training, validation, deployment, and monitoring
• Build and maintain MLOps pipelines using AWS SageMaker Studio, ensuring effective experiment tracking and automated retraining workflows

Required Qualifications

• 3+ years of experience in data science or a related role with a focus on ML engineering and MLOps
• Strong proficiency in Python for data science and ML development, including libraries such as pandas, scikit-learn, and PyTorch or TensorFlow
• Hands-on experience with AWS SageMaker Studio for model development and deployment
• Solid understanding of MLOps principles, including model versioning and production monitoring
• Experience with SQL and structured data in cloud data warehouses or relational databases