Data Scientist

Key Skills

Java Programming, Python Programming, Database, SQL, AWS, SciPy, Tableau, R Programming, matplotlib, ggplot

Job Description

Job Description:

We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in the Northern Virginia area, and requires an active TS/SCI with Polygraph security clearance. Position is funded and an immediate fill opportunity

The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data. The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.

Requirements:

• Bachelor’s degree in a highly quantitative subject or related field ( for example, statistics, mathematics, economics, or related field) and 8 years of experience
• TS/SCI clearance with polygraph required
• Strong experience working with Python or R programming languages
• Experience working with data manipulation, analytic/business insight tools, and data visualization experience
• Experience with SciPy stack or Tidyverse packages
• Experience constructing and performing complex database search queries
• Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
• Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing
• Experience /familiarity with frequentist statistics and probability including predicative modeling
• Experience with visualizing data using popular packages including Tableau, ggplot or Matplotlib
• Ability to communicate technical findings to non-technical audiences