HomeGeorgiaData Analyst Senior
General Dynamics Information Technology

Fort Stewart, GA

Data Analyst Senior

Location843 Hase Rd, Fort Stewart, Georgia 31315
Employment TypeContractor
Date Posted2022-07-07
Direct Apply
Yes
Valid Through2023-05-31

Job Description:

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Job Family: Data Analysis

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. Our work depends on a Data Analyst Senior joining our team to support the Centers for Medicare and Medicaid Services (CMS).

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 Senior 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

  • Producing innovative solutions to solve complex issues and problems

  • Utilizing a variety of methods (e.g., anomaly, social network, machine learning) to identify FWA

  • Conducting ad hoc advanced analytics projects

  • Translating findings into actionable insights for non-technical audiences

  • Collaborate with colleagues, clinical subject matter experts, and our client at CMS to find fraud, waste, and abuse schemes in the Medicare program

  • Be a creative problem solver bringing innovative solutions to complex 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

  • Review model code and model outputs produced by other team members and provide constructive feedback when necessary

  • 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

  • Research model performance (once in production), document the findings and make recommendations for improvements when necessary

  • Respond to end user inquiries regarding model performance and recommendations for changes

  • Participate in team meetings when requested

WHAT YOU’LL NEED:

  • Bachelors degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics)

  • 5+ years of analytical experience, preferably using health care claim data

  • Mastery of SAS, R, and/or Python for data science (including machine learning)

  • Ability to create data visualizations to present complex analyses and to illustrate trends

  • Expertise in SQL, Databricks, and Spark languages/technologies

  • Be a self-starter with a natural curiosity to understand, simplify and explain complex data

Required Qualifications:

• Bachelor’s degree (preferably in a numerate field such as math, engineering, science, finance, economics, etc.) and 5+ years of experience in data analytics

• Competency in writing SQL code – experience with Snowflake databases is a bonus

• Proficiency in R or Python – experience with Databricks and Spark is a bonus

• Ability to produce high quality output in Excel and PowerPoint is a must

Desired Skills and Experience:

• Knowledge of JIRA or similar Agile management tools and practices is desirable

• Ability to create data visualizations to present complex analyses and to illustrate trends using tools like Tableau

• Ability to train and assess machine learning algorithms, paying attention to issues such as multi-collinearity, overfitting, train-test leakage, etc.

• Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiatives

• Experience with CMS Medicare data is desired

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

Not sure this job’s the one for you? Check out our other openings at gdit.com/careers.

#GDITFedHealthJobs

#GDITHealthSystems

COVID-19 Vaccination: GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.

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.

Job ID: 3405768307200387444

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