Aetna Senior Data Scientist in Bradenton, Florida
Req ID: 55950BR
Uses statistical predictive modeling to evaluate scenarios and make predictions on future outcomes in order to solve highly complex business problems and support decision making. Analyzes very large data sets in real time databases and develops and implements mathematical approaches. Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.
Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.
Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Background/ Experience Desired:
Minimum 5 years total business experience
Minimum 3 year experience programming using SAS and SQL
Healthcare sector experience required
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
1 year experience in operational analysis of Care Management Platform with track record of business impact strongly preferred
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Demonstrates strong ability to communicate technical concepts and implications to business partners
Anticipates and prevents problems and roadblocks before they occur.
The highest level of education desired for candidates in this position is a Master's degree.
This is a full-time telework (WAH) position for a virtual team. Individual to be located in Eastern or Central Time Zones Only
Additional Job Information:
Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.
We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence. Together we will empower people to live healthier lives. We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.
Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.
Aetna takes our candidates's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.
Job Function: Data & Analytics
Aetna is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veterans status.