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Dir, Pricing Strategy in Hoffman Estates, IL at Sears Holdings Corporation

Date Posted: 5/13/2019

Job Snapshot

Job Description

Req/Job ID: 972456BR
Employing Entity: Sears Holdings Management Corporation
Employment Category: Regular, Full-time
Job Function: Analytics
Store ID: 58491: Sears Holdings Management Corp

The Director, Pricing Strategy is responsible for developing the overall profitable pricing and loyalty strategies for the organization. This position is critical in developing statistical and financial models to create strategic business opportunities across the organization. This position is constantly challenged to tap into advanced mathematics to develop scalable solutions.

Job Requirements

Responsible to build, validate, and maintain financial models to generate profitable and incremental sales. This team is responsible for designing experiments and conducting financial/business analyses to help identify opportunities and measure performance and integrates pricings and loyalty marketing strategies.
  • Designs and implements mathematical optimization techniques such as stochastic optimization, linear programming, meta optimization, and dynamic programming for life of product revenue optimization/ margin optimization, and CLV
  • Develop the creation of targeted segmentation marketing plans, including business rules, algorithms, and marketing assets to increase share of spend, minimize attrition, manages ROI of spend through managing portfolio
  • Develop campaign and segment optimization, managing budgets and campaigns to achieve program KPI's
  • Develop Customer Targeting Marketing for key segments
  • Experience using Probabilistic Programming and uncertainty estimation, Kalman Filter Modeling, Bayesian Statistical Models including Bayesian Hierarchical models, Bayesian Mixed Effect Models, Experience with tools such as Stan and PyMC.
  • Designs and Implements A/B testing and uses the new information to update knowledge database. Familiar with techniques such as difference in difference testing
  • Anticipates and understands short and long-term competitive market trends, and uses this information to develop and implement pricing and loyalty strategies
  • Identifies specific sales and margin opportunities and works with cross-functional teams to evaluate price sensitivities, reward strategies, and development of margin enhancements programs
  • Implements Time Series Models, evaluates forecast accuracy, computes seasonality, and applies approaches that are robust to sparse time series
  • Implements latest advanced scalable statistical/machine learning forecasting models using Tensorflow and uses the concepts such as category embedding and Recurrent Neural Networks to achieve higher forecasting accuracy
  • Designs and implements Dynamic Pricing models, Thomson Sampling, UCB. Must have experience in Reinforcement Learning

• 5-10 years of related experience years of professional experience in: pricing, investment banking, finance, academia, management consulting
• Master's/Ph.D. degree from a four year college or university Majors: Economics, Industrial Engineering, Financial Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, Operations Research, Physics
• Strong interest to code and knowledge of statistical and financial modeling
• Highly skilled in problem solving especially in situations of high ambiguity
• Ability to apply analytical rigor to understand complex business scenarios
• Active curiosity -- must enjoy gathering and explore data to identify issues and solve problems
• Strong work ethic
• Familiarity with standard customer insights techniques such as: qualitative and quantitative market research, marketing analytics, statistical and economic modeling, customer segmentation, and customer profitability analysis • Advanced Excel, basic PowerPoint skills, as well as familiarity with database standards and protocols. Knowledge of R, SQL, SAS, Python or other statistical tools