Hybrid Data Analyst Associate Data Analyst Associate with verification

Job Description:Type of Requisition:RegularClearance Level Must Currently Possess:NoneClearance Level Must Be Able To Obtain:NoneSuitability:Public Trust/Other Required:NoneJob Family:Data AnalysisSkills:Job Qualifications:Analytical Thinking, Data Science, Statistical AnalysisCertifications:Experience:0 + years of related experienceUS Citizenship Required:NoJob Description:At GDIT, every day, we influence how the government serves the country and its citizens. Starting your career with GDIT, allows you the opportunity to be a part of critical missions that don’t just shape the world, but the individual. We ensure today is safe and tomorrow is smarter.General Dynamics Information Technology (GDIT) is the premier provider of solutions to the government IT market. At GDIT, we support the Centers for Medicare and Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse (FWA) in the Medicare and Medicaid programs.At GDIT, Our People Are At The Center Of Everything We Do. As a Data Analyst Advisor Supporting CMS, You Will Be Trusted To Work On Leading Data Science Tools To Detect And Prevent Fraud, Waste, And Abuse (FWA) In The Medicare And Medicaid Programs. In This Role, a Typical Day Will Include:

• Collaborating with CMS to solve FWA challenges
• Utilizing a variety of methods (e.g., anomaly, social network, machine learning) to identify FWA
• Conducting entry level ad-hoc projects as requested
• Translating findings into actionable insights for non-technical audiences
• Be a creative problem solver bringing innovative solutions to FWA challenges
• Translate FWA findings into actionable insights for non-technical stakeholders
• Use SQL and Python (or R) to query CMS data and build models that alert on anomalous Medicare provider activity
• Follow CMS Fraud Prevention System (FPS) best practices for coding and design that ensure consistency and high quality in all FPS models
• Create all model documentation in support of a model’s production release into FPS, e.g., Model Specifications, Model Workshop Slides, etc.
• Present your work to a nationwide audience of investigators and other stakeholders at monthly workshop meetings
• Participate in team meetings when requested

Required Skills:

• Bachelors degree in Statistics, Computer Engineering, Applied Mathematics or related field with an analytical or technical focus (i.e. finance, economics and science) and at least 1 year of experience working with Data
• Knowledge of SQL, SAS, R, and/or Python for data science
• Competency in writing SQL code
• Proficiency in R or Python

Desired Skills:

• Be a self-starter with a natural curiosity to understand, simplify and explain complex data
• Ability to work independently and as part of a team
• Organized and detail-oriented
• Ability to “think on your feet” and problem solve without notice
• Ability to take initiative without immediate direction or supervision
• Ability to produce output in Excel and PowerPoint

#GDITFedHealthJobs#GDITHealthSystemsThe likely salary range for this position is $63,750 - $86,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:40Travel Required:NoneTelecommuting Options:RemoteWork Location:Any Location / RemoteAdditional Work Locations:Total Rewards At GDIT:Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.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.