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Posted 38d ago (Nov 5, 24)

QinetiQ US logoQinetiQ USMclean, Virginia

Data Scientist

United StatesFull-timeApplied mathematicsComputer programmingSQLHadoopCloud technologiesAWSMicrosoft Azure

We are recruiting for a Data Scientist who will have a diverse range of data-focused skills and experience, both technical and analytical. They will have a strong desire and capability for problem solving, data analysis and troubleshooting, analytical thinking, and experimentation, with a particular interest or aptitude in the Cloud arena.

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 Client 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 Qualifications:

  • Active TS/SCI clearance with polygraph required.
  • 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 languages.
    • 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).
    • 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.

Preferred Qualifications:

  • 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.

Benefits

Workplace flexibilityCommitment to health and well-beingOpportunities to work with a purpose
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