Senior Cloud Data Scientist
Apply NowCompany: Axiologic Solutions LLC
Location: Chantilly, VA 20152
Description:
Based in Northern Virginia, Axiologic Solutions LLC, has an opportunity for you to become part of our high-quality team that delivers innovative solutions to key federal clients. We are currently seeking a Senior Cloud Data Scientist to assist our growing team.
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.
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:
o Active TS/SCI FSP is required
o Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following:
o Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)
o Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)
o Ability to code or script in one or more general programming language
o Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection
o Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)
o Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)
o Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties
Desired:
o Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc.
o Experience working in a mission environment and/or with many different types of data
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.
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:
o Active TS/SCI FSP is required
o Thorough knowledge of appropriate analytic tools and methodologies in one or more of the following:
o Applied mathematics (e.g. probability and statistics, formal modeling, computational social sciences)
o Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)
o Ability to code or script in one or more general programming language
o Experience with, and understanding of, algorithms for classification, regression, clustering, and anomaly detection
o Knowledge of relational databases, including SQL and large-scale distributed systems (e.g. Hadoop)
o Expertise with statistical data analysis (e.g. linear models, multivariate analysis, stochastic models, sampling methods)
o Demonstrated effectiveness in collecting information and accurately representing/visualizing it to non-technical third parties
Desired:
o Understanding of, and/or hands-on experience with, Cloud technologies, such as AWS, Microsoft Azure, etc.
o Experience working in a mission environment and/or with many different types of data