What are the responsibilities and job description for the Data Scientist - Cloud 04-DM0110-2 position at 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
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
Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following:
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
- 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
- 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
Cloud Engineer / Data Scientist
DanSources Technical Services Inc. -
Mc Lean, VA
Cloud Engineer / Data Scientist
SilverEdge -
Bethesda, MD
Data Scientist
Data Society -
Washington, DC
