DATA SCIENTIST II (357) - GEORGIA - URGENT
Job Number: 357
Job Category: GovTech
Job Title: DATA SCIENTIST II (357) - GEORGIA - URGENT
Job Type: Full-time
Clearance Level: Top Secret/SCI - Full Scope Polygraph
Work Arrangement: On-site
Job Location: Augusta GA
Salary: 120K
Background
- Devise strategies for extracting meaning and value from large datasets
- Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
- Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings
- Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
- Effectively communicate complex technical information to non-technical audience
- Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations
Requirements
- Bachelor’s degree in mathematics, applied mathematics statistics, applied statistics, machine learning, data science, operations research, or computer science or a degree in a related field
- Degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered
- 3 years of relevant experience, Associate’s degree with 5 years of experience may be considered for individuals with in-depth experience
- Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Preferred
- Experience in more than one area (data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering) is strongly preferred.
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