Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.
EMPLOYER: Sagility LLC
TITLE: Senior Data Scientist
LOCATION: Atlanta, GA, and various and unanticipated locations throughout the U.S. (Must be willing to work anywhere in the U.S. as the position may involve relocation to various and unanticipated client site locations; any relocation to be paid by employer pursuant to internal policy.)
DUTIES: Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists clients’ management with strategic decision-making. Evaluate population health management program tracks performance using propensity matching, and analyze baseline and study period of members in test and control groups for clients utilizing Python, SAS, Power BI, and Excel. Implement complex statistical, machine learning, and NLP (natural language processing) models. Apply techniques for analyzing fraud, waste, and abuse case studies to draw relevant insights for the end users. Analyze “lift” in the company’s care management programs, medication adherence, and clinical visit, using a propensity-based methodology to ascertain the impact of operations on critical measures that indicate program benefits. Produce a probabilistic model using business understanding in Home Health and LTC. Build predictive models that improve savings and operational efficiency for both pre and post-payment cycles across various payment types. Design and deliver ML/AI solutions to work on cross-client platforms to identify inappropriate provider behavior and stratify social risk. EOE
REQTS: Must have a Bachelor’s degree or foreign equivalent in Engineering (Any), Data Analytics, or a related field plus five (5) years of experience in the position offered, as a Data Analyst, or a related position. Must have five (5) years of experience with all of the following: Statistical and predictive modeling techniques including machine learning and natural language processing; Data mining and conducting statistical studies and evaluating various program performances; and Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources. Must include three (3) years of experience with all of the following: Data modeling for the healthcare field, including both insurance and providers; and Healthcare insurance, healthcare economics, managing care plans, billing requirements, subscriber and provider responsibilities, utilization management, risk identification and adjustment, and long-term care.
SALARY: $92,901.04 - $95,000.00 per year
HOURS: 40 hours per week, Monday-Friday
Job title:
Senior Data Scientist
Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists clients’ management with strategic decision-making. Evaluate population health management program tracks performance using propensity matching, and analyze baseline and study period of members in test and control groups for clients utilizing Python, SAS, Power BI, and Excel. Implement complex statistical, machine learning, and NLP (natural language processing) models. Apply techniques for analyzing fraud, waste, and abuse case studies to draw relevant insights for the end users. Analyze “lift” in the company’s care management programs, medication adherence, and clinical visit, using a propensity-based methodology to ascertain the impact of operations on critical measures that indicate program benefits. Produce a probabilistic model using business understanding in Home Health and LTC. Build predictive models that improve savings and operational efficiency for both pre and post-payment cycles across various payment types. Design and deliver ML/AI solutions to work on cross-client platforms to identify inappropriate provider behavior and stratify social risk.
Location:
Work@Home NationWideUnited States of America
Sagility is a tech-enabled healthcare business process management company that supports US payers, providers, and their partners to deliver best-in-class operations, enhance the member and provider experience, improve the quality of care, and promote health equity all while delivering cost-effective healthcare financial and clinical outcomes.
Sagility Technologies uses a holistic consulting approach to identify the root causes of healthcare payer and provider pain points, analyze the issues, and provide a complete solution that encompasses people, process, and technology platform improvements. Equipped with a strategic solutions mindset, our core focus is on what most benefits the client. Combining healthcare operations and technology experience with advanced UI, UX, and analytics expertise, we develop and deploy customized solutions for our client’s businesses. Additionally, with our extensive global resources and facilities, that span across 40,000 talent and 5 countries, we provide the best service/price ratio for any service outsourcing needs.
