Data Scientist 2 [D.26.0038]

Requires Top Secret/SCI with Full Scope Poly

Duties:

• 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.
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
• 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.
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting processing, storage and analytic capabilities and limitations.

Requirements:

• Pattern/trend analysis experience required while leveraging financial and geospatial datasets. LLM experience desired. Also having any Al/ML development leveraging SIGINT data. Python proficiency required using skills such as data mining, algorithmic application and heuristics. Automated alert metrics tracking are a plus. Ability to translate complex data into strategic insights. Target knowledge or experience in OCP is a plus.
• 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. Experience in more than one area is strongly preferred.
• A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.