Data Scientist

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.