Lead Data Scientist

Qualifications

• Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field. A Master’s degree or Ph.D. is strongly preferred.
• Experience: Minimum of 8 years of related professional experience with a Bachelor's degree; OR 6 years of experience with a Master's degree; OR a PhD with 3 years of experience.
• Technical Skills: * Expert-level proficiency in Python or R, and advanced SQL capabilities. Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost). Extensive experience deploying models into production environments using cloud platforms (e.g., AWS SageMaker, GCP, Databricks). Strong understanding of MLOps, CI/CD pipelines, and version control.
• Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost).
• Extensive experience deploying models into production environments using cloud platforms (e.g., AWS SageMaker, GCP, Databricks).
• Strong understanding of MLOps, CI/CD pipelines, and version control.
• Knowledge & Application: Exhibits advanced experience and in-depth professional knowledge to resolve complex models and operational procedures. Works creatively and effectively to solve complex issues.
• Complexity & Problem Solving: Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises independent judgment in selecting methods, techniques, and evaluation criteria for obtaining optimal results.
• Collaboration & Interaction: Determines methods and procedures on new assignments and coordinates the activities of other personnel (acts as a Team Lead). Networks collaboratively with key contacts outside their own area of expertise to drive broad business impact.