Cleared Data Scientist - Military veterans preferred

2021-07-15
SAIC (www.saic.com)
Other

/yr

  full-time   employee


Bethesda
Maryland
20816
United States

Description

SAIC is seeking to hire someone with a passion for programming in support of Data Science. As a member of the Document and Media Exploitation (DOMEX) Data Science Team, you will help develop, update, and maintain tools for data discovery and advanced analytics, production databases leveraging a variety of disparate data sources, and visualizations and dashboards for subject-specific DOMEX data of interest.


In this position you will be recognized for what you develop and your impact on the teams you support. You will get to work on one to several tasks at a time - we have lots to do here! You will expand your knowledge and skills across multiple programming languages and software packages.  This is also a great opportunity to get a CI poly if you have a current TS/SCI!

Qualifications

MINIMUM TANGIBLE QUALIFICATIONS:

  • Must have a current/active TS/SCI security clearance and be willing and able to pass a CI polygraph
  • Solid knowledge/experience with at least one of the following languages: Python, Java, C/C++, C#, or R
  • Bachelor's Degree, or equivalent experience, within a related field
  • Must be willing to work in a highly collaborative approach, managing multiple competing priorities and assignments

PREFERRED QUALIFICATIONS:

  • 3 to 7 years of relevant experience
  • Possession of excellent oral and written communication skills
  • Possession of excellent analytical and organizational skills
  • Experience working with relational databases, including writing complex queries and stored procedures using any of the following: SQL, PL/SQL, T-SQL
  • Experience with any of the following version control repositories: Git, SVN, Confluence
  • Experience creating data visualizations or dashboards using relational and aggregate data sources, including experience working with any of the following: Pandas, Tableau, matplotlib, D3
  • Experience with big data, including processes for exploratory data analysis, information discovery, machine learning, and advanced analytic algorithms