Senior Data Scientist

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 at more than 1,300 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 AZPetVet. 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. We have an exciting opportunity to join our organization as a Senior Data Scientist! Job Summary The Senior Data Scientist is responsible for developing, implementing and optimizing statistical and machine learning models to support the revenue management department. This role is for the SME of revenue management related data and is expected to work closely and in partnership with the other data scientists and data engineers across the organization and brand. We are looking for a candidate with strong technical skills, a keen eye for detail, excellent organizational and communication skills, and a passion for finding new ways to solve business problems. Essential Responsibilities Responsible for analyzing large datasets to identify trends, patterns, and insights that can drive business decisions. Design, develop and implement predictive models and machine learning algorithms to solve business problems. Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights Stay up to date with latest developments in machine learning, implementing best practices to ensure robust and efficient models Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency Create metrics and alerts to continuously evaluate the performance of new and existing models to identify improvement opportunities dynamically Conduct ad-hoc analyses as needed to support various business initiatives. Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately communicate findings to stakeholders Requirements/Qualifications Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field required. Masters degree in related field a plus. 3-5 years of experience in business analytics, statistical modeling, and data science is required. High proficiency in SQL (Big Query preferred) and Python, and experience with data visualization tools like Tableau required. Strong experience with machine learning frameworks (e.g. scikit-learn) and cloud platforms (preferably Google) Intermediate understanding of data engineering concepts and tools required. Familiarity with GitHub, DevOps and CI/CD concepts required. Detail-oriented, analytical ability and strong oral/written communication skills are also required. Must be able to work well with others in a time-sensitive team environment with a flexible attitude focused on delivering outcomes. Must have the ability to independently structure/resolve problems by incorporating/balancing relevant factors and grasping mathematical concepts related to revenue management and pricing. Ability to meet deadlines, service level commitments, and prioritize multiple tasks independently. Experience in the Heath Care Industry or in Revenue Management a plus