Data Scientist, Mid in Saint Louis, MO at Booz Allen Hamilton

Date Posted: 2/8/2018

Job Snapshot

Job Description

Job Number: R0019286

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 Scientist, Mid

Key Role:

Perform as a data scientist with a focus on computer science to apply knowledge of and expertise in distributed scalable Big Data store, including Accumulo, Cloudbase, HBase, or Bigtable and expertise in the MapReduce programming model. 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 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:

-3+ years of experience with developing software in Java, C, C++, Python, R or an equivalent high–level language
-Experience with developing solutions and integrating, extending, and contributing to open–source software

-Experience with version control systems, including Github or Gitlab

-Knowledge of software integration or testing, including analyzing and implementing test plans and scripts

-TS/SCI clearance

-BS degree


Additional Qualifications:
-Experience with deploying applications in a Cloud environment
-Experience with designing and developing automated analytic software, techniques, and algorithms

-Experience with MapReduce programming

-Experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Bigtable

-Experience with the Hadoop Distributed File System (HDFS) and JSON or BSON

-Experience with Apache Spark or Apache Storm

-Experience with Data Visualization tools or packages

-Experience with Data Mining or Deep Learning techniques

-MS degree in Data Science, CS, Physics, Statistics, Mathematics, Earth Science, Geographic Information Science, or Quantitative Social Sciences preferred; PhD degree a plus


Clearance:

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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