HomeOhioData Analyst Senior
General Dynamics Information Technology

Mansfield, OH

Data Analyst Senior

Location1343 Park Ave W, Mansfield, Ohio 44903
Employment TypeContractor
Date Posted2022-04-07
Direct Apply
Yes
Valid Through2023-05-10

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).

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

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 in FWA applications

  • Mastery of R or Python for data science (including machine learning)

  • Familiarity and experience with one or more of the following data science packages: Pandas, NumPy, Tensorflow, Scikit learn, Seaborn, GGplot, Matplotlib

  • 2 years experience in statistics and machine learning model development, such as: Anomaly detection by Principal Component Analysis (PCA); Machine learning model including neural network, Random Forest, XGBoost, Cluster analysis; Statistical regression models.

  • Familiarity with SAS programming language

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

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

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

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.

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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: 6351393387330815765

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