**This opportunity is contingent upon award**

Company Summary

Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Arlo Solutions team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end-users, and give our customers a competitive edge, now and into the future.

Position Overview

Arlo is in search of a Computer and Information Research Scientist to support the IRS Office of Safeguards in providing risk model maintenance support to optimize Safeguards risk-based review selection process by providing expertise to recognize areas of risk model improvement and to plan and implement risk model maintenance and improvements.

Work Location

Washington, DC 20224

Job Responsibilities and/or Success Factors

• Create Risk Support Work Plan to identify, define, and provide deliverable deadlines for all deliverables under the Support Risk-based Selection Process Task. The plan will not be static and will be adjusted during the Monthly Risk Team Meeting.
• Facilitate quarterly meeting to review and update Risk Support Work Plan.
• Provide maintenance and operation of data fields via R Suite software that is used to provide analysis of Review Finding data and its relationship to the Risk Model and Health Score outputs.
• Revise and maintain formulas and macros that provide weighted evaluation of a variety of risk factors as indicated by subsets of data fields.
• Conduct data aggregation used to determine most "as risk" agency partners. Includes manual evaluation of the automated data to validate "at risk" ranking.
• Create risk dashboard to identify, track, and communicate agency findings, risk, ranking, and remediation data and overall historical trend analysis.

Education and Minimum Qualifications

• Must be a US Citizen
• Bachelor’s level degree or higher in any accounting, mathematics, engineering, finance, economics and/or data science discipline from an accredited college or university.
• A minimum of 3 years of relevant experience in an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract or extrapolate knowledge and insights from structured and unstructured data and apply knowledge from the data across a broad range of application domains.
• Experience in utilizing automation and scripting techniques as well as presenting results to management and non-technical personnel for consideration.
• Specialized experience in Tableau; R Programming.

AAP Statement

We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.