Data Scientist

$101,400 - $183,300/Yr

Leidos - Great Falls, VA

Full-time

Great Falls, VA

Professional, Scientific, and Technical Services

About the position

The Data Scientist position at Leidos involves supporting a dynamic data science team focused on projects essential to National Security. The role requires an active TS/SCI with Polygraph security clearance and is situated in a classified environment. The Data Scientist will engage in building statistical models, conducting research on diverse data sources, and utilizing machine learning and automation to derive insights and recommendations.

Responsibilities

• Build statistical models and test hypotheses.
• Interpret, summarize, visualize, and report on data findings.
• Perform research on various data sources, including unstructured data.
• Construct and execute complex database search queries using SQL and API interfaces.
• Perform web scraping and process unstructured data.
• Leverage automation and machine learning for data management and scenario prediction.
• Contribute to the development of new analytical tools and packages.
• Collaborate with team members in a highly technical environment.
• Learn and utilize emerging technologies such as AWS and Git.

Requirements

• Experience with AI/ML.
• Typically requires a BS degree and 8 - 12 years of prior relevant experience or a Master's with 6 - 10 years of prior relevant experience; a Doctorate in a technical domain may also be considered.
• Active TS/SCI clearance with polygraph is required.
• Strong experience with Python.
• Experience with data manipulation, analytic/business insight tools, and data visualization.
• Experience with SciPy stack or Tidyverse packages.
• Experience constructing and performing complex database search queries.
• Knowledge of computer science concepts, data architecture, and statistics.
• Demonstrated experience using statistical and machine learning techniques, including supervised and unsupervised learning and natural language processing.
• Familiarity with frequentist statistics and probability, including predictive modeling.
• Experience visualizing data using popular packages such as Tableau, ggplot, or Matplotlib.
• Ability to communicate technical findings to non-technical audiences.