Key Responsibilities

  • Partner with Decisioning Program lead and other relevant marketing, technology, and channel stakeholders in the implementation, monitoring, and optimization of real-time, inbound marketing strategies and capabilities
     
  • Primary lead for the analysis, measurement, and presentation of strategic outcomes of Decisioning Program
     
  • Provide analytical consultation, science modeling, and solutions to optimize business goals, objectives, and priorities for inbound Decisioning Program
     
  • Research, design, develop, implement, support, and refine advanced statistical and decision science models in support of personalized, real-time customer-centric marketing initiatives (including customer/product targeting, lead scoring, and other related activities)
     
  • Design and develop advanced analytical data mining, forecasting, and optimization models
     
  • Provide science calibration support for decision science models
     
  • Design and conduct studies for comparison and benefit assessment of various advanced analytical models
     
  • Cultivate strong relationships with marketing, technology, and other key stakeholders to ensure alignment of modeling initiatives with Decisioning Program objectives and to identify new hypotheses for model improvement
     
  • Develop and deliver (or assist in delivery of) executive-level presentations summarizing program outcomes and future considerations with focus on business-centric and stakeholder-relatable content
     
  • Evangelize the application and benefits of using various predictive modeling techniques to improve inbound Decisioning Program strategies, capabilities, and outcomes
     
  • Address ad hoc queries from key program leadership or executive stakeholders and present actionable recommendations in a clear, concise, and convincing manner
     
  • Assist in the scaling of modeling capabilities by driving infrastructure improvements such as automation of data preparation, model training, and optimization
     
  • Lead or provide direction/support to internal, contractor, or third-party vendor resources in support of decision science capabilities and requirements

Experience / Skills

  • Candidate has at least 10 years of professional experience; at least 5 years of statistical analysis or analytical modeling experience
     
  • Experience within retail banking or financial services industry desirable
     
  • Demonstrable specialization, expertise, or thought leadership in scientific/analytical concepts or techniques such as Decision Theory, Time-series Analysis, Multivariate Statistical Models, Sampling Designs, Probability Modeling, Econometric Models, Information Retrieval and Meta-analysis, Data Mining, Statistical Classification, Predictive Analytics, Behavioral Sciences, Machine Learning, and Artificial Intelligence
     
  • Experience applying advanced analytics and knowledge to marketing activities/initiatives
     
  • Strong mathematical modeling skills and proficiency in programming/scientific languages, such as SQL, SAS, R, MATLAB, Java, C++,
     
  • Practical experience in SAS data step and statistical modeling procedures, including Linear Regression, Logistics Regression, GLM, Mixed model, and ARIMA model
     
  • Proficiency in data cleansing and transformation in the creation of predictor variables from complex data structures
     
  • Knowledge of marketing program and media scorecard development, performance measurement, and business intelligence software solutions
     
  • Excellent communication, presentation, and interpersonal skills
     
  • Demonstrated strong organizational, time management, and partnering skills with attention to detail
     
  • Demonstrated aptitude and willingness to learn new science, software applications, and tools
     
  • Master’s degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics, or related field; PhD desirable