Data Scientist

The WellBe care model is a Physician Led Advanced Practice clinician driven geriatric care (care of older adults) team focused on the care of the frail, poly-chronic, elderly Medicare Advantage patients.  This population is typically underserved and very challenged with access to care.   To address these problems, we have elected to bring the care to the patient, instead of trying to bring the patient to the care. Care is provided throughout the entire continuum of care – from chronic care and urgent care in the home, to hospital, to skilled nursing facility, to assisted living, to palliative care, to end of life care.  WellBe's physician/advanced practicing clinician led geriatric care teams’ partner with the patient’s primary care physician to provide concierge level geriatric medical care and social support in the home as well as delivering and coordinating across the entire care continuum.

GENERAL SUMMARY

At WellBe Senior Medical our Data Scientist applies advanced data analysis tools and methodologies to deliver insights and actionable recommendations for the business, as well as individual units. Utilizes complex statistical modeling to forecast future outcomes and in various business scenarios. Simplifies results and communicates findings to business leaders.

• Practices the WellBe mission: To help our patients lead healthier, meaningful lives by delivering the most Complete Care.
• Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business.
• Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.
• Interprets and applies data in complex analyses and explains findings to business audiences to improve products and processes.
• May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)
• Implements statistical and mathematical analyses to support business decision making.
• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.
• Documents projects including business goals, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
• Develops materials to explain project findings.
• Effectively resolves problems and roadblocks as they occur.
• Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.
• Prepares and presents interpretation of findings to internal clients
• Assist with office-based tasks during periods of nonactivity
• Participates in regularly scheduled team meetings
• Other tasks needed to accomplish team’s objectives/goals

QUALIFICATIONS

Educational/ Experience Requirements:

• Bachelor’s degree, or higher, and relevant technical discipline such as Statistics, Business Analytics, Computer Science, Mathematics, or related field
• 7+ years of hands-on experience in with data analysis and predictive analytics machine learning/statistical modeling techniques
• 5+ years of experience with programming languages or packages such as Python, R, SQL, etc, including data extraction techniques across multiple database technologies
• Exploratory data analysis skills including understanding, cleaning, transforming, and reducing datasets prior to analysis
• Experience synthesizing and connecting large amounts of data identifying trends and opportunities
• Experience applying statistical methods and math to structured and unstructured data

Preferred Qualifications

• Previous experience as a consultant
• Adept at building relationships, credibility, and trust with those you serve
• Experience in high volume/transaction industries
• Healthcare/Managed Care industry experience
• Broad exposure to the full customer lifecycle
• Business to Business as well as Business to Consumer experience
• Experience with packages such as Tableau or others for report development and data presentation
• Interest and aptitude for coaching and mentoring less experienced team members
• Interest in developing and pursuing patents
• Comfort and ability to shift focus areas quickly based on demand    

Supervisory Responsibility: This position will not have supervisory responsibility.

Travel requirements: Travel may be required up to 10%

The preceding functions may not be comprehensive in scope regarding work performed by an employee assigned to this position classification.  Management reserves the right to add, modify, change or rescind the work assignments of this position.  Management also reserves the right to make reasonable accommodations so that a qualified employee(s) can perform the essential functions of this role