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Predictive Modeler III/Data Scientist

Location: VA Vienna - Headquarters Full/Part Time: Full-Time Regular/Temporary: Regular

Job Description

Employee Perks

Why You Will Love Being Part of the Navy Federal Team:

*Competitive compensation with opportunities for annual raises, promotions, and bonus potential
*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)
*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses
*Consistently Awarded Top Workplace
*Nationally recognized training department by TRAINING Magazine IND123
*An employee-focused, diverse, and service-oriented workplace environment

Basic Purpose

To lead the development of predictive modeling, data-mining, and advanced statistical analysis to support credit and debit card fraud mitigation efforts and initiatives.  Assist with formulating strategies around fraud mitigation.  Provide input, clarification and insight to mid and executive-level management across the company with answers to business questions and information to support the approach and implementation of fraud mitigation strategies.


•    Conducts model design, development, model implementation, model usage, and model governance requirements
•    Collaborate with internal business partners across divisions to integrate analytical tools and solutions to support  fraud mitigation
•    Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage
•    Lead development of predictive modeling projects using data mining techniques for estimating current and future fraud losses and fraud trends including impacts to workforce productivity
•    Monitor performance of scored models; recommend/implement changes to improve performance
•    Perform full cycle model design and development which includes but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance
•    Performs in depth modeling audits, including process evaluations of modeling related activities such as data quality, model performance tracking, and model governance policy

Qualifications – All required unless otherwise noted:

•    Bachelor's Degree in Statistics or Mathematics, or the equivalent combination of training, education, and experience
•    Experience in managing multiple priorities independently and/or in a team environment to achieve goals
•    Experience in statistical software (e.g., R, SPSS Modeler, SAS) to manage large data sets
•    Experience in using more than two of the following statistical methods to solve business problems: linear and logistic regression, neural networks, decision trees, experimental design, time-series and forecasting, K-means clustering, association rules, RFM, survival analysis
•    Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling

•    Master's Degree in Statistics, Mathematics, Economics, Engineering or the equivalent combination of training, education, and experience
•    Experience as a research analyst and/or predictive modeler demonstrating strong mass data mining and statistical expertise

Monday-Friday, 8:00AM-4:30PM

Equal Employment Opportunity


Navy Federal values, celebrates, and enacts diversity in the workplace.  Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans.  EOE/AA/M/F/Veteran/Disability