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.