Data Scientist, Senior

Booz Allen Hamilton•Charlottesville, VA

10d•$99,000 - $225,000•Onsite

About The Position

Work as a Data Scientist supporting an intelligence client's foreign ground force reporting requirements. Work as part of a diverse contract team performing in-depth technical analysis of foreign conventional and irregular warfare threats to US ground force systems, combat support systems, and US operations. Finished all-source intelligence products adhere to client and IC standards using a multi-discipline approach including HUMINT, IMINT/GEOINT, MASINT, SIGINT, and OSINT tools through various data collection procedures and technologies, including emerging data science and big data methodologies.

Requirements

5+ years of experience as a Data Scientist
Knowledge of statistical and general purpose programming languages, SQL, and NoSQL
TS/SCI clearance
Bachelor's degree in a Science field

Nice To Haves

10+ years of experience as a Data Scientist
Knowledge of DoD Intelligence processes, activities, standards, and available analytic tools
Master's degree in a Science field

Responsibilities

Perform in-depth technical analysis of foreign conventional and irregular warfare threats to US ground force systems, combat support systems, and US operations.
Produce all-source intelligence products adhering to client and IC standards using a multi-discipline approach.
Utilize HUMINT, IMINT/GEOINT, MASINT, SIGINT, and OSINT tools through various data collection procedures and technologies.
Apply emerging data science and big data methodologies.
Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
Use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products.
Proactively retrieve information from various sources and analyze it for better understanding.
Build AI tools that automate certain processes.
Provide in-depth scientific and technical analysis to support analytic operations and knowledge management issues across organizational and intra-IC boundaries.
Clearly articulate key findings.
Define comprehensive, new, or unique research approaches that enable rigorous assessments to address and contribute to high-level tasks.
Review analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions.
Routinely test the analytic rigor of analytic products.