Data Scientist

Clearance Level
Information Security
Morrisville, North Carolina

REQ#: G2019-66778

General Dynamics Information Technology (GDIT) has an immediate requirement for a Data Scientist to add to its team in support of the United States Postal Service's Cybersecurity program. The successful candidate will experience an unparalleled large-scale enterprise environment with over 800 Information Technology systems, 10s of 1000s of servers and desktop devices, processing billions of dollars in annual revenue and supporting a diverse user base spread across the entire US. 



The Data Scientist will participate in various aspects of the implementation and operations of the cybersecurity analytics capability, including developing applications for analyzing large scale data sets, hardware and software asset data, and designing and developing analytical approaches, including machine learning and modeling.

  • Understand, interpret and develop content for SIEM products to meet internal and external customer requirements.
  • Identification of analytics approaches, and development of supporting analytical data sets.
  • Conduct data exploration and identify approaches for model development, feature definition, and application of machine learning.
  • Development of dashboards and reports to assess data performance and quality control.
  • Applying complex analysis of data in support of mission problems, with expertise in problem solving, scripting in multiple languages, as well as the creation and/or implementation of tools and processes that aid in advanced analytics, testing and quality assurance.
  • Using and developing statistical analysis, modeling, simulation, and machine learning methods.
  • Scripting, data collection and data management services; performing enterprise-wide data collection, storage, and manipulation; and, development and implementation of automated testing frameworks.


Please Note:  We can only accept US citizens and or Green Card Holders.  The security clearance for this program requires the selected candidate to have resided in the US for the past five years and not have left the country for more than 180 cumulative days.


Bachelor's degree in computer science, applied mathematics or similar technical disciplines required.



  • 5+ years' work experience in a data science role.
  • Hands-on experience in the design, development, integration, testing, and implementation of data models using large-scale data sets
  • Solid knowledge of data analytics tools and methods; knowledge and experience with Splunk, R, and a demonstrated ability to quickly learn new tools and languages
  • Experience and strong knowledge of data processing tools/languages including Splunk SPL, Perl, SQL, Bash, etc.
  • Experience in developing statistical models, and knowledge of machine learning approaches and algorithms
  • Experience with Agile Methodology/Scrum Development and DevOps
  • Ability to build, test, deploy and iterate statistical models and report on model performance.
  • Translating data into an informed story via visualization tools such as Qlik Sense or Tableau
  • Excellent communication skills with strong ability to synthesize key insights into actionable solutions 


  • Working experience supporting an enterprise cybersecurity program
  • Microsoft Azure and Office 365 environment experience
  • Experience with Splunk dashboard development and usage








" 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.