CS Data Scientist, Mid in Alexandria, VA at Booz Allen Hamilton

Date Posted: 2/18/2018

Job Snapshot

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Job Description

Job Number: R0019843

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.

CS Data Scientist, Mid

Key Role:

Perform as a data scientist with a focus on computer science to apply knowledge of and expertise in Excel, Hadoop, ElasticSearch, and statistical methods. Leverage expertise in requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and diagnosis or resolution. Use statistical methods on large data sets to characterize uncertainty through statistical methods. Leverage knowledge of large data set analysis and the ability to perform research and ensure study results are properly interpreted and documented.

Basic Qualifications:
-5+ years of experience with developing software in Java, C, C++, or other high level languages 
-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 version control systems, including Github or Gitlab
-Experience with Microsoft Office Suite, including using Excel for data manipulation
-Experience with quantitative and qualitative analysis
-Experience with querying Elasticsearch or Hadoop repositories 
-Knowledge of the Operations Research field and statistical methods
-TS/SCI clearance 
-BA or BS degree in CS, Physics, Statistics, or Mathematics

Additional Qualifications:
-Experience with using ArcGIS or other commercial GIS programs for spatial analysis
-Experience with machine learning algorithms
-Experience with a scripting or programming language, including Python/R
-Experience with creating visualizations in Kibana
-Experience with Pig/Hive
-Experience with developing applications using API functionality
-Experience with supervised and unsupervised machine learning algorithms
-Experience with deploying applications in a Cloud environment
-Experience with designing and developing automated analytic software, techniques, and algorithms
-Experience with Apache Spark or Apache Storm
-Experience with Apache Kafka
-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; PhD degree in Computer Science, Physics, Statistics, or Mathematics a plus

-Hadoop Certified Developer Certification

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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