Director of Data Science – AI / Machine Learning / Generative AI

Director – Data Science & Analytics

Location: United States (Midwest-based preferred)
Employment Type: Full-Time | Leadership

A large, technology-driven organization is seeking a Director of Data Science & Analytics to lead the development and deployment of advanced analytics, machine learning, and AI-driven solutions across the enterprise. This leadership role will oversee a team responsible for building predictive models and scalable analytics capabilities that support strategic business initiatives. The Director will help define the data science roadmap while ensuring models are built with strong technical rigor and successfully integrated into production environments. This position requires a combination of technical expertise, leadership experience, and the ability to translate complex analytics into business impact.

Responsibilities

• Lead and mentor a team of data scientists delivering machine learning and advanced analytics solutions
• Oversee the design, development, validation, and deployment of predictive models
• Establish best practices and governance standards for model development and lifecycle management
• Manage the analytics project pipeline and prioritize initiatives aligned with strategic business objectives
• Collaborate with engineering, product, and operations teams to embed models into operational workflows
• Ensure scalability, reliability, and performance of production AI/ML systems
• Promote adoption of advanced analytics across the organization
• Evaluate emerging technologies in machine learning, generative AI, and advanced analytics

Qualifications

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or related field
• Experience leading or managing data science or machine learning teams
• Demonstrated experience delivering AI/ML solutions in production environments
• Strong understanding of the full model development lifecycle

Technical Skills

• Python and modern machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
• Development and validation of machine learning and deep learning models
• Experience with Generative AI and Large Language Models
• Model deployment and monitoring
• Experience implementing MLOps practices such as model versioning and retraining pipelines

Additional Skills

• Strong collaboration with both technical and business stakeholders
• Ability to communicate complex analytics insights clearly
• Experience operating within cross-functional, enterprise environments

Additional Requirements

• Ability to work within a hybrid or onsite work model if required
• Willingness to travel occasionally
• Standard background screening and employment verification apply