Senior Data Scientist

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 47 states in four distinct categories : Dental care, urgent care, veterinary care, and medical aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose : to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses : Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Animal Hospitals and Chapter Aesthetic Studios. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Senior Data Scientist . This role is responsible for transforming raw data from various sources to develop high quality machine learning and forecasting models informing the growth strategy across our brands and for TAG as a whole.

Responsibilities

As a Senior Data Scientist, you will be responsible for :

• Model Development
• Identify opportunities within the business and proactively partner with business leaders to develop models using advanced ML and AI techniques to unlock stronger, more streamlined business performance
• Build, validate, and deploy predictive forecasting models to predict demand, revenue, and market trends
• Design and execute A / B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies
• Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies
• Apply statistical and machine learning methods to identify patterns, trends, and insights
• Understand business objectives and translate them into data-driven solutions
• Gather, clean, and validate structured and unstructured data from multiple sources
• Conduct rigorous testing of models, ensuring reasonable results and reporting back to leadership on outcomes
• Model Ownership
• Monitor and report on model performance
• Develop recommendations to improve model accuracy
• Translate complex analytical findings into clear, actionable insights with recommendations to improve performance
• Partner with leaders in Product, IT, and Brand leadership to implement tools that leverage the models, changing data outputs into a fully functioning product
• Maintain well-documented, reproducible code and workflows
• Continuous Learning & Development
• Stay current with industry trends, tools, and best practices in data science
• Proactively suggest new approaches and methodologies to enhance decision-making by leadership
• Collaborate with cross-functional teams (IT, product, finance, operations) evolve data science approaches to integrate the latest business insights and trends

Minimum Education and Experience

Annual Salary Range : $120,000-$140,000 / year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.

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