Job Description

Job Description

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 three distinct categories: Dental care, urgent 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.

Position Summary

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 Director, Data Science – Forecasting and Pricing Analytics. This role reports to the SVP, Analytics & Reporting and is responsible for leading a team of data scientists and analysts focused on developing advanced forecasting models, pricing strategies, and revenue optimization solutions across our brands and for TAG as a whole.

This role is responsible for building and scaling analytical frameworks that improve forecast accuracy, optimize pricing and promotions, and drive measurable business impact.

The ideal candidate combines technical expertise in machine learning, econometrics, and experimental design with proven leadership skills and the ability to influence executive stakeholders.

Key Responsibilities

Leadership & Strategy

• Provide actionable insights and recommendations to senior leadership to support strategic decision-making.
• Oversee the design, development, and maintenance of data models, dashboards, and reports.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Develop and implement comprehensive data analytics strategies aligned with business goals.
• Lead, mentor, and grow a high-performing team of data scientists and pricing analysts.
• Define the vision and roadmap for forecasting and pricing analytics, aligning with corporate strategy.
• Partner with finance, commercial, product, and strategy leaders to ensure analytics drive business impact.

Forecasting & Predictive Analytics

• Develop advanced forecasting models to predict demand, revenue, and market trends.
• Implement time series, machine learning, and causal inference methods to improve forecast accuracy.
• Continuously refine models to adapt to changing business conditions and external market factors.

Pricing, Promotions & Experimentation

• Design and execute A/B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies.
• Develop frameworks to identify lookalike offices, markets, or customer groups to serve as pilot and control cohorts for pricing and promotional experiments.
• Partner with commercial and marketing teams to design, test, and scale discounting, bundling, and promotional tactics grounded in data.
• Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies.

Analytics & Decision Support

• Translate complex analytical insights into clear, actionable recommendations for senior executives.
• Establish performance metrics, dashboards, and KPIs to monitor forecast accuracy, test results, and pricing effectiveness.
• Drive adoption of analytics across the organization by embedding tools and insights into business workflows.

Qualifications

• Master’s or PhD in Data Science, Statistics, Economics, Applied Mathematics, or related field (MBA with strong analytics background considered).
• 10+ years of experience in data science, advanced analytics, or pricing, with at least 5 years in a leadership role.
• Proven expertise in forecasting, econometrics, machine learning, and A/B testing.
• Strong business acumen in pricing, revenue management, or financial planning.
• Proficiency in Python, SQL, BigQuery, Tableau or PowerBI, and modern data platforms (e.g., Databricks, Snowflake, GCP, Azure).
• Demonstrated ability to influence senior leadership with data-driven insights.
• Exceptional communication and stakeholder management skills.

What We Offer

• Opportunity to shape enterprise-level forecasting and pricing strategies.
• High visibility role with direct impact on revenue growth and profitability.
• Collaborative culture that values innovation, curiosity, and data-driven decision-making.
• Competitive compensation, performance incentives, and comprehensive benefits package.

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• Salary: Annual pay range: $185,000 - $218,000, plus bonus/incentives
• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

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