Lead Predictive Modeler (Data Scientist)

Location: FL Milton 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 moderate to large scoped predictive modeling, data-mining, and advanced statistical marketing analytics for assigned internal clients to enable better understanding of member needs, behaviors, and engagement. Serve as lead Analyst independently under general supervision and provide less skilled Analysts with technical and thought guidance in the development of models and collaborative insights with stakeholders. Formulate strategies around member targeting, product and service acquisition, cross-selling and retention for more effective marketing. Provide input, clarification and insight to mid and executive-level management across the company with answers to business questions and information to assist with member-centric decision making.

Responsibilities:

  • Collaborate with internal business partners across divisions to integrate analytical tools and solutions into direct marketing, lead generation campaigns/initiatives, and agent/member systems (i.e., INFOR)
  • Develop and refine member segmentation models to help focus corporate and divisional activities supporting corporate growth, retention, member experience and long term profitability
  • Develop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of business issue(s) being studied 
  • Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage
  • Forecast initiatives to project strategic plan goals and assess current performance 
  • Identify potential issues that arise during the course of research projects and escalate and communicate these to management and internal clients for awareness\action\resolution
  • Identify, recommend and manage external suppliers/vendors assisting on analytical research projects, ensure projects meet departmental quality standards, research objectives, and delivered on time
  • Lead ad hoc analysis of corporate-wide business problems of various scope and complexity
  • Lead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, prospecting new members, cross-selling to existing members (response models), and identifying members likely to leave
  • Make presentations of status, completion and results of studies to non-technical audience of various levels 
  • Manage multiple research projects under tight deadlines; ensure research projects are completed on time and meet internal client expectations 
  • 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 
  • Proactively work with internal clients and other business areas to create project plans with clear objectives, detailed tasks, accountabilities, timelines, and estimated budgets/corporate impact 
  • Produce actionable insights from research projects that are effectively communicated 
  • Perform other duties as assigned

Qualifications – All required unless otherwise noted:

  • Master's Degree in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience
  • Experience in an informal mentoring, and/or leadership role
  • Experience in working in a consultative capacity involving marketing strategies
  • Significant experience in managing multiple priorities independently and/or in a team environment to achieve goals
  • Significant experience in marketing campaign "life-cycle" management with a broad range of marketing research tools, trends and technologies - e.g. data mining, Cognos, Business Objects, SAS, JMP, SPSS, SQL, CRM platforms such as Infor or TRM, Mintel Comperemedia, Claritas tools, Omniture etc.
  • Significant experience in statistical software (e.g., SPSS Modeler and/or SAS) to manage large data sets
  • Significant experience in using a majority 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 building effective relationships through rapport, trust, diplomacy and tact
  • Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
  • Advanced skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes
  • Advanced skill using innovative thinking to solve problems and facilitate the decision-making process
  • Experience in an informal mentoring role
  • Significant experience in using a majority 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 skills in building effective relationships, analyzing and sharing data and using innovative thinking to solve problems

Desired:

  • Doctor of Philosophy in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience
  • Significant experience in marketing campaign "life-cycle" management and marketing analysis demonstrating usage of all technical tools for data modeling
  • Advanced knowledge of Navy Federal products, services, programs, policies and procedures
  • Experience dealing with fraud and working in a financial institution

Hours:
Monday-Friday, 9:00AM-5:30PM

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