Senior Fraud Data Scientist (Remote)

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Job Summary:

Noblis is a company that tackles the nation's toughest problems and applies advanced solutions to critical missions for government clients. They are seeking a Senior Fraud Data Scientist to build a behavioral analytics team focused on detecting fraudulent electronic transactions, collaborating with data analytics architects and scientists to implement analytics capabilities for Federal Agencies.

Responsibilities:

• Review and assessment of identity management approaches, including Credential Service Provider (CSP) offerings and fraud vectors

• Lead communications with identity proofing stakeholders, including external vendors and CSPs

• Coordinate and lead identification of analytics approaches, and development of supporting analytical data sets

• Coordinate fraud risk model development based on features extracted from user application interactions, log transactions, network data, third party data, and other key data sources.

• Coordinate and support application of AI and ML techniques in developing and training fraud detection models, including application of graph analytics

• Conduct in-depth analysis and develop analytics to support investigations

• Coordinate and develop integrated data sets, including the design and implementation of data integration across data analytics infrastructures as needed to support data analytics projects.

• Document hypothesis, analytics approaches, and findings.

• Develop dashboards and reports to assess data performance and quality control.

• Assist with the development of project status briefings and dashboards for Agency executives

• Interact with senior client project team members and operational staff

Qualifications:

Required:

• U.S. Citizenship is required

• Masters degree and 10 years of overall experience OR a Bachelor’s degree and 18 years of experience OR PhD and 0 years of experience

• Graduate degree in a computer science or a technical discipline required

• Sound understanding of NIST 800-63 Digital Identity Guidelines

• 3 or more years of hands-on experience with data sets from two or more Credential Service Providers (CSPs, as defined in the NIST 800-63 standard)

• Five or more years of experience developing production quality analytics in support of digital identity proofing space

• Extensive experience transitioning complex analytics environments to the cloud

• Highly focused, detail-oriented temperament are required

• Experience in the design, development, integration, testing, and implementation of a large scale data sets

• Solid knowledge of Big data processing environments such as Hadoop, and tools/languages such as Perl, Python, Scala, Spark, and Java

• Experience working in an AWS Cloud Environment

• Experienced user of Splunk or equivalent training in Splunk or other similar tool is considered a plus

• Strong analytic and creative problem-solving abilities are required

• Highly inquisitive with an ability to work both independently and in collaborative setting

• Strong teamwork, communication and interpersonal skills

• Strong communication, written, and organizational skills

• Ability to work on multiple aspects of a large scale project which includes prioritizing, tracking, attention to detail, follow-up and follow-through to project completion

• Comprehensive knowledge and understanding of Internet web transactions, traffic flows are preferred

• Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Preferred:

• IRS Suitability

Company:

Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems. Founded in 1996, the company is headquartered in Reston, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.