Probity, Inc

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph.. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph. 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). Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc.

senior data scientist

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph
Summary
The successful candidate will possess 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.
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
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
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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