Data Scientist 2

About the role

We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural Language Processing (NLP).

Responsibilities

• Triage the development of large language datasets and develop tools and techniques for analysis.
• The focus of this position will be on rapid prototyping and data mining.
• 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 audiences.
• Provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, data visualization, statistical analysis, and TechSIGINT tools.
• Solution needs be adaptable to new tools and technologies as needed.

Requirements

• Bachelor's Degree with 3 years of relevant experience, associate's degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a 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 if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
• Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one 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.

Qualifications

• TS/SCI With Polygraph Is Required.