Lead Data Scientist

As a Lead Data Scientist, you will drive advanced analytics and machine learning that power Copper Hill’s SaaS platform.

Responsibilities

• Lead development of data validation methodologies to ensure reliable inputs and outputs
• Develop predictive models and machine learning solutions for product and customer impact
• Create training materials explaining Generative AI versus AI writ large
• Establish data science methodologies and best practices across projects
• Mentor data scientists and analysts through technical guidance and review
• Translate business requirements into analytical approaches and deliverable solutions
• Build machine learning models including classification, regression, clustering, and forecasting
• Optimize model performance and accuracy over time
• Define testing methodologies to measure performance of models on queries against multiple frontier model providers (OpenAI, Anthropic, Perplexity, Cohere)
• Implement reinforcement learning structures targeting different AI model providers
• Develop experimentation frameworks and A/B testing methods
• Collaborate with engineering teams to design scalable data pipelines
• Support production deployment of models and ongoing readiness for release
• Ensure data quality and reproducibility across datasets and model runs
• Partner with Product Management to develop data-driven product features
• Embed machine learning capabilities into the SaaS platform
• Design APIs and services that expose model outputs to the application
• Develop solutions using Microsoft Azure data services
• Work with SQL Server and large structured datasets
• Support model deployment and monitoring in cloud environments

Requirements

• 7+ years of experience in data science or machine learning
• Experience deploying machine learning models into production systems
• Strong experience with Python or R, SQL, and machine learning frameworks

Technologies

• Microsoft Azure
• SQL Server
• C#
• Angular
• SQL
• Python
• R
• Generative AI
• AI writ large
• OpenAI
• Anthropic
• Perplexity
• Cohere
• A/B testing
• Reinforcement learning

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Reporting Line

• Vice President of Engineering

Employment Details

• Full-Time
• Hybrid remote
• Livonia, MI 48151

Preferred Experience

• Experience with Azure Machine Learning or other cloud ML platforms
• Experience working with enterprise datasets or SaaS platforms
• Advanced degree in Data Science, Computer Science, Statistics, or related field