Data Scientist, Junior in Arlington, VA at Booz Allen Hamilton Inc.

Date Posted: 5/11/2018

Job Snapshot

Job Description

Job Number: R0026528

Data Scientist, Junior

Key Role:

Apply expertise in data mining and analysis to exploring data from disparate sources and discovering patterns and previously hidden insights to address a business problem. Analyze and implement custom algorithms, flow processes, and layouts for complex, up to Web-scale data sets used for modeling, data mining, statistical analysis, and research purposes. Apply analytical approaches using statistical programming languages, including Python, ExtendSim, SAS, and R. Work closely with teammates from non-mathematical fields to ensure operational strategies are considered in the context of applying statistical theory. Use statistical theory on modeling, simulation, and data analysis to deliver measurable improvements to organizational policies and programs. Author complex documents describing and visualizing analytical results. Leverage technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem.

Basic Qualifications:

-Experience with data analysis, mining, and visualization software, including SAS, R, or Python

-Experience with Microsoft Office

-Ability to author complex documents describing and visualizing analytical results

-Ability to obtain a security clearance

-Scheduled to obtain a BA or BS degree in Spring 2018

Additional Qualifications:

-Experience with Big Data analysis programming techniques and technologies, including Hadoop

-Possession of excellent data gathering, analytical, and problem-solving skills

-Possession of excellent oral and written communication skills

-MS degree in Engineering, Statistics, Mathematics, or Operations Research a plus


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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