Data Science, Mid in Springfield, VA at Booz Allen Hamilton Inc.

Date Posted: 5/28/2018

Job Snapshot

Job Description

Job Number: R0025849

Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years. Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise.

Data Science, Mid

Key Role:

Perform as a data scientist with a mathematics focus. Apply knowledge and expertise in probability, statistics, Bayesian analysis, and various statistical methods. Use Bayesian methods on complex problem sets to characterize uncertainty by using statistical methods. Leverage knowledge of probability and statistics to help inform client decisions. Leverage knowledge and research ability to ensure study results are properly interpreted and documented.

Basic Qualifications:

-5+ years of experience with R, Python, Matlab, NETICA or other mathematical software

-Experience with the design and development of an object-oriented system

-Experience with developing solutions and integrating, extending, and contributing to open source software

-Experience with Microsoft Office Suite, including using Excel for data manipulation

-Experience with quantitative and qualitative analysis

-Knowledge of the operations research field and statistical methods

-TS/SCI clearance

 -BA or BS degree

Additional Qualifications:

-Experience with using ArcGIS or other commercial GIS programs for spatial analysis

-Experience with machine learning algorithms

-Experience with developing applications using API functionality

-Experience with supervised and unsupervised machine learning algorithms

-Experience with designing and developing automated analytic software, techniques, and algorithms

-Knowledge of the GEOINT TCPED process

-Knowledge of optimization techniques, including linear programming and tools commonly associated with these techniques

-MS degree in CS, Physics, Statistics, or Mathematics preferred or PhD degree in CS, Physics, Statistics, or Mathematics a plus


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Integrating a full range of consulting capabilities, Booz Allen is the one firm that helps clients solve their toughest problems by their side to help them achieve their missions.  Booz Allen is committed to delivering results that endure.

We are proud of our diverse environment, EOE, M/F/Disability/Vet.

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