Data Scientist

2 weeks ago

Chantilly, United States MP Data LLC Full time
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:
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)
• 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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