Data Scientist

Position Overview

The data scientist will use a diverse range of data-focused skills and experience, both technical and analytical. Possesses a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation.

  • Work with large, complex, and disparate data sets
  • Design and implement innovative ways to analyze and exploit the customer's data holdings
  • Research and report on a wide variety of customer's inquiries
  • Raise proactive inquiries based on observations and proposed data analysis/exploitation
  • Solve difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies
  • Develop custom searches
  • Communicate and coordinate with internal and external partners as needed
Required Qualifications
  • Thorough knowledge of analytic tools and methodologies such as probability and statistics, formal modeling, computational social sciences, computer science, machine learning and/or scientific computing.
  • Ability to code or script in one or more programming/scripting languages
  • Understanding and use of algorithms such as classification, regression, clustering, and anomaly detection
  • Knowledge of relational databases and/or non-relational data stores, including RDBMS and large-scale distributed systems (e.g. Hadoop)
  • Demonstrated ability to use technical and analytic skills to solve complex investigative problems
  • Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties
  • Active TS/SCI with polygraph required
Preferred Qualifications
  • Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)