Probity Inc.
Senior Data Scientist - Cloud 04-DM0422-3
Probity Inc., Chantilly, Virginia, United States, 22021
Position:
Senior Data Scientist - Cloud 04-DM0422-3 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. 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 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. 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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Senior Data Scientist - Cloud 04-DM0422-3 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. 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 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. 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.
#J-18808-Ljbffr