General Dynamics Information Technology Data Scientist in Frederick, Maryland
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: None
Job Family: Programming
We are GDIT. We take pride in providing our clients with the data they need to make important decisions that impact the world around us.
You make GDIT your place by delivering insights to help our clients make impactful changes real. By owning your opportunity at GDIT, you’ll become a critical part in how we successfully solve our clients’ biggest challenges.
GDIT is looking for an experienced Data Scientist (Advisor level) to support our customer, Centers for Medicare and Medicaid Services (CMS), in their efforts to utilize Agile development processes to maintain operations and maintenance, provide new enhancements and added functionality for all Hospital Quality Reporting (HQR) systems, specifically for the Quality Analytics and Reports task area.
In this role, a typical day will include:
Plans, develops, tests, and documents highly complex applications programs.
Generates new code and corrects, converts, and/or modifies existing code to meet specifications.
Builds and codes applications and/or models using various computer programming languages with a strong emphasis in SAS.
Prepares detailed specifications from which code will be written.
Confers with end-users to analyze specified methods and procedures, identify problems, and document specific requirements.
Provides input to staff involved in writing and updating technical documentation such as users’ manuals, product specifications, and training materials.
Performs a variety of testing procedures on assigned products, analyzes test results, and corrects problems.
Prepares reports on analyses, findings, and project progress, and presents results to management and/or customer personnel.
Performs research on emerging technologies to determine impact on application execution.
Provides guidance and work leadership to less experienced programmers and may have supervisory responsibilities.
May serve as a technical team or task leader.
Maintains current knowledge of relevant technology as assigned.
Participates in special projects as required.
Gathers and/or clarifying business and technical requirements with data requestors.
Provides technical and analytic input to analytic team.
WHAT YOU’LL NEED:
Bachelor’s Degree in a Computer Science or related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
8-10 years of directly related computer programming experience.
Experience with Medicare claims data.
Programming experience with analysis in the healthcare industry.
Advanced knowledge of the fundamental concepts, practices, and procedures used in computer programming.
Proficiency in the use of SAS and SQL.
Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.
Master’s Degree in Statistics.
Experience working in an Agile environment using collaboration tools (Jira).
Experience working in a cloud environment (AWS, Hive).
Experience leading project tasks.
Professional SAS Certification(s).
Experience with SAS Viya, Python, Visual Basic and R coding languages.
WHAT GDIT CAN OFFER YOU:
● 401K with company match
● Challenging work
● Internal mobility team dedicated to helping you own your career
● Rewards program for high-performing employees
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.