Analytic Methodologist (Object Based Intelligence)

Bigbear.ai

9d

About The Position

BigBear.ai is seeking an Analytic Methodologist to support the development of analytic strategies to resolve key intelligence questions of mission-driven requirements.
This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the “ground level” of a new and exciting program with a critical Department of War (DoW) customer. An active TS/SCI w/poly highly desired.

Requirements

• Must possess a TS/SCI clearance with a CI poly (or ability to obtain)
• Bachelor’s degree from an accredited institution in an area related to the job description above
• Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements)

Nice To Haves

• Current CI poly
• At least 8 years of experience conducting intelligence analysis, with at least a portion of experience within the last 2 years
• Experience working creating products for Object Based Intelligence purposes
• Experience within the DoW and/or US Intelligence Community

Responsibilities

• Works with ambiguous information, deconstructs key questions, suggests methodologies, develops data schema to structured observations, and supports visualization of applicable data.
• Identifies and evaluates a wide range of existing methods, models, and algorithms to develop more accurate, complete, objective, and anticipatory analysis for intelligence production. Identifies, retrieves, manipulates, relates, and / or exploits structured data sets from all available sources.
• Uses scripts, visual analytic modeling tools, and Standard Operating Procedures (SOPs) for repeatable, widely applicable procedures.
• Combines empirical or quantitative methods with data analysis for intelligence production of complex and data-driven assessments. Evaluates the capabilities and limitations of analytic methodologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level