SENIOR DATA SCIENTIST - IT DEPT

SENIOR DATA SCIENTIST-JOB DESCRIPTION

SentryHealth is searching for a strategic and inquisitive Senior Data Scientist to develop and run with data- centered projects. In keeping with this overarching aim, the Senior Data Scientist will be required to outline work requirements, assign tasks to junior staff, and monitor performance within the team. You should also harness your mastery of Data Science to consult on various aspects of these and other projects. As an experienced Senior Data Scientist, you will play an integral role to support our business operations by providing relevant, timely, and actionable insights to care teams and teammates-helping them make better, more informed decisions. This is accomplished by applying advanced analytic techniques to large integrated data sets and rendering outputs to users through data visualization tools.

To be successful as a Senior Data Scientist, you should use data to ultimately inform and promote the company’s expansion. First-rate Senior Data Scientists will assume a prominent role in the development of junior staff.

You will be joining an innovative team that is passionate about using advanced analytics to improve healthcare outcomes for our clients.

SENIOR DATA SCIENTIST RESPONSIBILITIES • Aggregate data and generate reports for a variety of internal and external stakeholders. • Collating and cleaning data from various entities for later use by Junior Data Scientists. • Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects. • Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed. • Analyze numerous metrics, including historical trends, and breakdowns by sub-categories and segments. • Utilize established data-gather and modeling strategies in working with diverse data types, including clinical values, demographic data, medical and financial information. • Generate program participant eligibility using medical claim data provided by data aggregators, clients, and other third-party sources. • Acquire and assemble datasets from a variety of sources, ensuring data integrity and security. • Identify issues, including systematic issues, with production and maintenance of data. • Build and maintain complex spreadsheets, documenting sources and methodologies. • Suggesting ways in which insights obtained might be used to inform business strategies. • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

REQUIRED QUALIFICATIONS: • Experience in developing models and applying advanced analytics solutions to solve complex business problems • Experience with programming languages including: , Python, Scala, Java • Proficiency with SQL programming • Experience constructing and executing queries to extract data in support of EDA and model development • Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent • Experience with unsupervised and supervised machine learning techniques and methods • Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases • Experience performing , analysis, and training set construction • Bachelors Degree (required) or Masters Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience • Ability to relay insights in layman’s terms, such that these can be used to inform business decisions. • Outstanding supervision and mentorship abilities. • Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.

Sentry Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually quiet, as this is a business office environment.