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Data Scientist, Mid in Alexandria, VA at Booz Allen Hamilton Inc.

Date Posted: 4/28/2019

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Job Description

Job Number: R0052407

Data Scientist, Mid

Key Role:
Provide analytical support to DoD clients 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. Apply expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Develop technical solutions leveraging Qlik Sense, including a focus on effective integration and sustainability. Adapt quickly to comprehend business and operational constraints and needs and resolve those challenges, employing expertise in data analysis to create solutions through the application of appropriate analytical techniques and methods. Gather reporting, dashboard, and metric requirements for BI solutions and design, develop, and implement business intelligence solutions using Qlik Sense. Leverage comprehension of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements. Work with subject matter experts (SMEs) to identify important information in raw data and develop solutions that extract this information from a variety of data formats, including SQL tables and structured metadata.

Basic Qualifications:
-5 years of experience with financial analysis and data management
-Knowledge of front-end design and data visualization techniques and best practices
-Knowledge of data governance structures and purpose
-Knowledge of basic graphics design for presenting complex data into easy-to-read reports
-Knowledge of SQL data base development, experience writing advanced SQL queries
-Secret clearance
-BA or BS degree

Additional Qualifications:
-Experience with using Python or R for statistical computing
-Experience with using Cloudera and HDFS in a big data environment
-Ability to work independently in a fast paced, team-oriented environment
-Possession of excellent oral and written communication skills
-MA or MS degree in Finance, Business Analytics, Mathematics, Operations Research, or Data Science preferred

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

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