Job Description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. 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, Chapter Aesthetic Studio, and Lovet Pet Health Care. 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 Data Scientist.

Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet . In this role, you won’t just analyze data — you’ll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours . From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you’ll have a direct hand in driving measurable results .

This role is ideal for someone who excels at turning data into decisions , building repeatable processes , and uncovering insights that drive measurable improvements in revenue performance and patient access . You will lead initiatives across forecasting , scheduling optimization , demand modeling , capacity planning , and revenue strategy , while also shaping how analytics is delivered and scaled across the organization. If you’re a builder who loves solving complex problems with data , operational logic , and automation , this opportunity is for you.

Essential Responsibilities:

Revenue Strategy & Optimization

• Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling — while balancing access for patients and operational efficiency.
• Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization.
• Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization.
• Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors.

Analytics, Insights & Experimentation

• Develop and maintain forecasting, demand models, dashboards, and scenario analyses.
• Run experiments and structured tests to evaluate new operational and scheduling strategies.
• Create clear, actionable insights that influence senior leaders and cross-functional partners.

Process Building & Automation

• Map existing manual workflows and identify opportunities to automate recurring analyses or reporting.

Cross-Functional Leadership

• Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution.
• Help shape and scale the function by building new playbooks, reports, and best practices.
• Act as a subject matter expert in forecasting, demand modeling, and capacity optimization.

Qualifications (Skills-Based):

We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice.

Experience/Education:

• 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred).
• Bachelor’s degree in Business, Finance, Economics, Analytics, or Statistics required; Master’s degree a plus.
• Experience working alongside data science/engineering teams to automate and scale analytics processes.
• Exceptional analytical, problem-solving, and communication skills — with the ability to influence senior stakeholders.
• Detail-oriented, self-starter mindset with a passion for driving results.
• Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization.
• Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker).
• Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) — not required, but helpful.

Additional Job Description:

• Base Pay Range: $120,000 - $140,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.)
• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
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