GDIT is looking for a Sr Data Scientist to support the Healthcare Quality Analytics and Reporting Contract (HCQAR) under the Centers for Medicare/Medicaid Services (CMS). You will be responsible for providing statistical support and project specific leadership for research and development of analytic services and projects.
Plans data collection, and analyzes and interprets statistical data from surveys, experiments, studies, and other sources.
Plans methods to collect information and develops questionnaire techniques according to survey design.
Conducts surveys, evaluates reliability of source information, adjusts and weighs raw data, analyzes and interprets statistics, and organizes results.
Prepares conclusions and predictions based on data summaries.
Prepares reports, charts, tables, and other visual aids.
May provide guidance and work leadership to less-experienced statisticians.
Participates in special projects as required.
Manage and monitor the integrity of data ensuring quality, accuracy, and timely delivery of contract requirements, in addition to serving as a technical resource to researchers, customers, and internal team members regarding the availability and reliability of data sources and health services’ research methodologies.
Oversee the creation of analytic code and datasets for various contracts; may also create the code depending on the complexity.
Designing optimal methodologies for database design and reporting systems including sampling, data collection tool design and statistical modeling.
Direct and/or participate in research projects.
Oversee the creation of documentation for measure algorithms, database accuracy, features of datasets, options for research methodologies, etc.
Data mining of Medicare data Provide subject matter expertise for development of business intelligence tools
EDUCATION AND EXPERIENCE REQUIREMENTS:
Master’s required. PhD Degree preferred. 5-8 years of related statistical analysis experience.
SKILLS AND ABILITIES:
Comprehensive knowledge of the principles, methods, and procedures of statistical analysis. Strong quantitative and data analysis skills.
Effective communications skills.
May require proficiency in the use of one or more specific technologies, such as SAS.
Experience manipulating data with SAS and creating output used by MS Office products.
Experience working with large data sets preferred.
Experience with Medicare claims data preferred.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT 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 veteran status, or any other protected class.