Tech Stack

Description

You'll develop innovative approaches to glean meaning and value from large datasets, working collaboratively throughout the data-science lifecycle. You'll create qualitative and quantitative methods to characterize datasets and employ analytic modeling to construct usable intelligence from different data sources. This role helps solve technical and operational problems for federal government clients.

Requirements

• A.A. and 12 years of relevant experience OR B.S. and 10 years OR M.S. and 8 years OR PhD and 6 years
• Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related field
• Relevant experience including two or more of: designing/implementing machine learning algorithms, programming in high-level language (e.g., Python), data management, data mining, data modeling, artificial intelligence, software engineering
• Active TS/SCI with polygraph clearance

Responsibilities

• Develop innovative approaches to glean meaning and value from large datasets
• Create qualitative and quantitative methods to characterize datasets
• Identify algorithms, machine learning, or AI technologies to solve problems
• Employ analytic modeling, scripting, and programming to aggregate data
• Construct usable intelligence from different data sets and sources
• Evaluate, document, and share research processes and results