Director of Data Science And Analytics

Position Overview

The Director of Data Science & Analytics will lead our Data Science organization in developing, deploying, and scaling advanced analytics and AI/ML solutions. Based in Beachwood, OH, this role focuses on technical and scientific excellence, ensuring models are rigorously developed, production-ready, and well-integrated into business operations. The successful candidate will collaborate closely with AI Product Management, Operations, IT, and Data Engineering to deliver impactful, innovative solutions.

Key Responsibilities

• Lead and mentor a team of Data Scientists in designing, developing, and deploying AI/ML models and advanced analytics solutions.
• Drive technical excellence in model development, validation, industrialization, and monitoring.
• Manage the Data Science project portfolio, ensuring resources are applied to the highest-value initiatives.
• Collaborate with AI Product Management to align project execution with the product vision and roadmap.
• Partner with Operations, IT, and Data Engineering to integrate models into enterprise systems and workflows.
• Establish standards, methodologies, and best practices for data science development and industrialization.

Required Qualifications

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Proven experience in leading and developing Data Science teams.
• Demonstrated success in deploying AI/ML solutions at scale in complex environments.
• Strong technical expertise with proficiency in Python and modern ML/AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience in Machine Learning and Deep Learning model development and validation.
• Familiarity with Generative AI and Large Language Models (LLMs), including fine-tuning and deployment.
• Knowledge of MLOps practices (e.g., model versioning, monitoring, retraining).
• Excellent collaboration skills with both technical and business partners.
• Exceptional communication skills with the ability to translate technical concepts into business impact.
• Willingness to travel and comply with required background checks and screenings.