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AmeriHealth Caritas over 1 year ago
location: remoteus
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Manager Data Science

Location: Remote, United States

Primary Job Function: Strategic Planning & Execution

ID**28411

Your career starts now. We’re looking for the next generation of health care leaders.

At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation’s leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate iniduals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.

Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. Discover more about us at www.amerihealthcaritas.com.

Responsibilities:

Under the leadership of the Director Data Science/Modeling and Outcomes Evaluation, develops and oversees analyses and models based on complex operational, economic and statistical data to solve new and complex problems, develop innovative strategies, quantify the competitive performance of the organization’s operations and/or markets, and evaluate the potential impact of changes. Defines problems, collects data, applies advanced economic and mathematical concepts, establishes facts and draws valid conclusions. Applies an in-depth understanding of advanced behavioral statistics to solve new and complex problems and develop innovative strategies and meaningful insights. Manages development of reports for management on the overall performance of business segments and develops metrics to measure various characteristics of the business. Assists in analyzing historical operations and market information using business software packages and statistical software tools, and develops models to predict future outcomes.

  • Experience with Medicare STARS measures and reporting required as this team will work with Medicare data and analytics; including STARS reporting.
  • Oversee the data science team, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products.
  • Ensure analytical experiments are conducted methodically to help solve various problems and make a true impact across various domains.
  • Administer relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
  • Oversee the definition and implementation of data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
  • Manage the team that devises and utilizes algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
  • Implement analytical models into production by collaborating with software developers.
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.
  • Analyze data for trends and patterns, and interpret data with a clear objective in mind.
  • Collaborate across multiple corporate areas to understand workflows, document processes and ensure highest quality product delivery.
  • Work on a fast paced team, with minimal direction focusing on understanding the application/product/area in detail, while delivering high-quality outputs and actionable solutions.
  • Serve as thought leader for technical business processes, developing forward-thinking prototypes that promote increased efficiency and productivity on multiple levels.
  • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
  • Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
  • Identify trends, opportunities and anomalies through analysis of complex data sets.
  • Perform other duties as assigned by Management.

Education/Experience:

  • Master’s Degree in applied statistics, computer science, mathematics, or epidemiology required.
  • 2 to 3 years previous people management experience required.
  • 5 to 7 years data science experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
  • Advanced knowledge of healthcare industry and marketplace trends, specifically related to managed Medicare, managed Medicaid, dual eligible members and insurance products.
  • Advanced proficiency with data mining, mathematics and statistical analysis.
  • Advanced proficiency with pattern recognition and predictive modeling experience.
  • Superior organizational, close attention to detail and written/oral communication skills.
  • Superior technical writing skills in business requirements, queries, reports, and presentations.
  • Superior technical skills in Excel, PowerPoint, Tableau and programming languages (SAS, Python, and R) with the ability to learn other analytic tools.
  • Superior analytical and quantitative skills with experience collecting, organizing, mining, analyzing, visualizing and disseminating abundant information with the utmost accuracy and presentation.
  • Efficiently manages time-based on the continual evaluation of priorities, meets deadlines with high-quality deliverable reflecting complete understanding of expectations, able to multi-task.
  • Experience in conducting and documenting QA testing using problem solving techniques for analytic and reporting solutions.

NO Sponsorship offered