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Data Scientist/Fraud Solutions Statistical Programmer in Rockville, MD at Booz Allen Hamilton Inc.

Date Posted: 4/27/2019

Job Snapshot

Job Description

Job Number: R0049339

Data Scientist/Fraud Solutions Statistical Programmer

Key Role:
Work as a statistical programmer initially responsible for one or more anti-fraud contracts that provide federal civil clients with a range of data science capabilities. Complete sub-tasks on these contracts that range from cold start activities grounded entirely in anomaly discovery to the production of supervised machine learning algorithms that are retrained daily and executed continuously. Design, test, and implement a replicable code base using open source statistical programming languages to meet the objectives outlined by the client. Create and optimize database queries or translate existing detection models written in R or Python into scheduled SQL jobs as part of developing production anti-fraud solutions. Maintain responsibility for creating charts, tables, and other visualizations that demonstrate the performance of current and new detection techniques. Review and submit additional documentation, as required and attend weekly briefings with the client, including providing both technical and non-technical staff in attendance with reasonable explanations of both the performance and the mechanics of existing fraud detection strategies. Work with data through computerized models and design analytic approaches to extrapolate data patterns through supervised and unsupervised machine learning.

Basic Qualifications:

-Experience in working with machine learning, data mining, and statistics

-Experience with creating reports and presenting findings based on statistical analysis while developing persistent monitoring applications for statistical or machine learning processes

-Experience with using R or Python to analyze data and create data-driven visualizations

-Experience with data science or analytics in the federal health sector or finance agencies

-Experience with using SQL or HDFS/Hadoop for analytics workflows

-Experience with developing graphs and charts to explain how mathematical information will influence the specific project or business

-Ability to provide specific subject matter expertise in the areas of data patterns for fraud and data patterns regarding the compromise of electronic federal benefits systems

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Secret clearance

-MA or MS degree

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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