TAG - The Aspen Group
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TAG – The Aspen Group provided pay range This range is provided by TAG – The Aspen Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $120,000.00/yr – $140,000.00/yr
Talent Acquisition Manager @ TAG – The Aspen Group 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.
Senior Data Scientist – Job Description 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
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.
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.
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) to evolve data science approaches to integrate the latest business insights and trends.
Minimum Education and Experience
BA or BS in Data Science, Computer Science, Mathematics, or another degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced degree preferred.
4–6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning, including experience leading projects.
Hands‑on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data is required. Experience using data visualization software like Tableau or PowerBI is a plus.
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models.
Excellent communication and interpersonal skills are required. Experience managing cross‑functional projects with multiple stakeholders is desirable.
Proven track record of partnering with executive‑level audiences to identify opportunities, build out the framework for potential models, and deliver a recommended approach to the business.
Ability to excel in a fast‑paced environment, take direction, and handle multiple priorities.
Benefits 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.
If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees
#J-18808-Ljbffr
TAG – The Aspen Group provided pay range This range is provided by TAG – The Aspen Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $120,000.00/yr – $140,000.00/yr
Talent Acquisition Manager @ TAG – The Aspen Group 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.
Senior Data Scientist – Job Description 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
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.
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.
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) to evolve data science approaches to integrate the latest business insights and trends.
Minimum Education and Experience
BA or BS in Data Science, Computer Science, Mathematics, or another degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced degree preferred.
4–6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning, including experience leading projects.
Hands‑on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data is required. Experience using data visualization software like Tableau or PowerBI is a plus.
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models.
Excellent communication and interpersonal skills are required. Experience managing cross‑functional projects with multiple stakeholders is desirable.
Proven track record of partnering with executive‑level audiences to identify opportunities, build out the framework for potential models, and deliver a recommended approach to the business.
Ability to excel in a fast‑paced environment, take direction, and handle multiple priorities.
Benefits 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.
If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees
#J-18808-Ljbffr