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, including 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 & Skills:
Experience with AI/ML.
TS/SCI clearance with polygraph is required
Strong experience with Python.
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 predictive modeling
Experience with visualizing data using popular packages including Tableau, ggplot, or Matplotlib
Ability to communicate technical findings to non-technical audiences
Typically requires a BS degree and 12 – 15 years of prior relevant experience or a Master’s with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain.
