Data Scientist

Everwatch•Annapolis Junction, MD
•$96 - $115

About The Position

EverWatch is seeking a Data Scientist to use data science expertise and leadership to turn complex structured and unstructured datasets into useful information. The role involves working closely with clients to understand their questions and needs, analyzing data-rich environments, and developing algorithms and systems that provide objective answers to support informed decisions. The Data Scientist will guide teammates and lead analytical development efforts, using appropriate tools and frameworks to interpret disparate data and explain how the resulting insights can be applied to real-world challenges.

Requirements

  • Experience with statistical and general-purpose programming languages for data analysis, such as R, Python, SAS, or MATLAB.
  • Experience analyzing structured and unstructured datasets.
  • Experience developing and validating machine learning or statistical models.
  • Experience developing feature vectors and tuning analytical algorithms.
  • Experience translating customer requirements into analytical solutions.
  • Experience leading data science teams and analytical development efforts.
  • TS/SCI clearance with a polygraph is required.
  • Bachelor's degree in a quantitative discipline (such as statistics, mathematics, engineering, or computer science) and 10+ years of experience in machine learning, data mining, advanced statistical analysis, artificial intelligence, or data analysis software development; alternatively, a high school diploma or GED and 14+ years of experience in those fields.

Nice To Haves

  • Experience developing statistical tests, experiments, or simulated datasets.
  • Experience evaluating models using cross-validation, ROC curves, or confusion matrices.
  • Experience transitioning analytical prototypes into production systems.
  • Experience developing scalable analytics for large datasets.
  • Experience integrating analytics into production workflows with software or cloud engineers.
  • Experience creating data visualizations and analytical reports.
  • Experience applying emerging machine learning or pattern recognition algorithms.

Responsibilities

  • Work with clients to understand their questions and needs.
  • Analyze structured and unstructured data to find useful information and insights.
  • Lead the development of algorithms and systems.
  • Guide teammates and lead data science and analytical development efforts.
  • Select tools and frameworks to turn disparate data points into objective answers for client decision-making.
  • Provide a deep understanding of data, its meaning, and potential uses.
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