• Type: Contract
  • Job #2980

Duties, Tasks & Responsibilities

  • Working with large, complex, and disparate data sets

  • Designing and implementing innovative ways to analyze and exploit the Sponsor’s data holdings, particularly Cloud-related data holdings

  • Researching and reporting on a wide variety of Sponsor inquiries

  • Raising proactive inquiries to the Sponsor based on observations and proposed data analysis/exploitation

  • Solving difficult, non-routine problems by applying advanced analytical methodologies, and improving analytic methodologies

  • Developing custom searches

  • Communicating and coordinating with internal and external partners as needed


Required Experience, Skills, & Technologies 

  • Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following:

    • Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)

    • Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)

  • Ability to code or script in one or more general programming language

  • 7+ years experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection

  • Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)

  • 7+ years hands on experience/expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)

  • Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties

  • High School Diploma or GED

  • Master's degree can replace 1 years of experience; and/or any relevant certification can replace 6 months of experience ​


Security Clearance Required

  • TS SCI with Polygraph


Desired Experience, Skills & Technologies

  • Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc.

  • Experience working in a mission environment and/or with many different types of data

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