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Humana’s Medicare Growth Analytics Organization is seeking a talented Senior Data Scientist to join our Membership Analytics team working remote anywhere in the US. The Membership Analytics team is seeking a Senior Data Scientist that will build forecast models using advanced AI techniques for our Medicare membership by leveraging disparate data sources, business knowledge, and sophisticated statistical models. Responsibilities will also include building models to understand the root causes of member acquisition and retention, with the end goal of providing the best product for the consumer. 

As the Senior Data Scientist, you will identify drivers of Medicare sales, retention, and enrollment growth by developing datasets and constructing models. You will also have the opportunity to provide insights by creating projections, analyses, and presentations to support business strategy and tactics. You will have a critical role in supporting our workflow using advanced machine learning and artificial intelligence tools. Coding, modeling, and building simulations to develop data-driven strategies and measure success will support our continuous efforts to improve our business strategy.

Key Role Functions

• Collaborate with internal and external stakeholders to identify opportunities for leveraging data to drive business insights for our strategic partners

• Identifying drivers of Medicare sales, retention and enrollment growth

• Develop custom machine learning models, advanced analytic models, and statistical models

• Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for membership growth, and other business outcomes

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Coordinate with different functional teams to implement models and monitor outcomes

Only persons with authorization to work permanently in the U.S. need apply. EEO 

Use your skills to make an impact
 

Required Qualifications

• Bachelor’s degree or higher in Mathematics, Statistics, Analytics, Data Science, or related field

• 3+ years of statistical analytics and/or predictive modeling experience

• Demonstrated experience with SAS, Python, R, and/or SQL

• Experience in using mathematics, statistics, modeling, artificial intelligence, and technology to transform high volumes of complex data into advanced analytic solutions

• Experience in working with assignments that involve complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors

• Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

• Experience in creating reports, projections, models, and presentations to support business strategy and tactics

• Ability to make decisions on complex issues regarding technical approach for project components

Preferred Qualifications

• Master’s or PhD in Mathematics/Statistics/Data Science

• Experience with healthcare or managed care data

• Experience performing data management, mining, and manipulation along with analytics

Additional Information 

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security—both today and in the future, including:

• Health benefits effective day 1

• Paid time off, holidays, volunteer tim