Data Scientist IV in Hoffman Estates, IL at Sears Holdings Corporation

Date Posted: 10/9/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    3333 Beverly Road
    Hoffman Estates, IL
  • Date Posted:
    10/9/2018
  • Job ID:
    954082BR

Job Description

Req/Job ID: 954082BR
Employing Entity: Sears Holdings Management Corporation
Employment Category: Regular, Full-time
Job Function: Information Technology
Store ID: 58491: Sears Holdings Management Corp

Looking for a Data Scientist to join the Supply Chain team.
We develop sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, prices, promotions, similar products and product’s attributes, in order to forecast the demand. We also work closely with Inventory Management, Supply Chain and Logistics teams to optimize our inventory allocation in our worldwide channels given operational constraints.

Scope of Responsibility: Design algorithms and develop scalable solutions and models that allow for analyzing trends and scenarios in Inventory Management, Supply Chain and Logistics. Partner with organizational business process owners to leverage and implement the solutions that the team designs.

Job Summary: Help lead the innovation and advancement of solutions to complex supply chain and inventory management problems using predictive analytics, data mining, mathematical programming, machine learning, and data visualization.

Job Requirements

Job Duties/Responsibilities:
  • Work closely with fellow data scientists, data engineers, and project managers
  • Develop complex algorithms and data mining processes as well as optimization and simulation models to create new policies, evaluate their performance, and quantify their benefits and impacts to cost, reliability, and speed of the SHC fulfillment network using a variety of methods in data science, machine learning, and applied mathematics
  • Present findings to relevant business unit leaders and work with business partners to integrate them into our product plans
  • Develop new strategies to improve the performance of SHC's fulfillment systems networks
  • Research, evolve and innovate scientific methods and advanced business logic within our assortment, replenishment and/or supply chain planning teams

Job Requirements:
  • Advanced degree in Industrial Engineering, Statistics, Mathematics, Economics, Computer Science, or similar technical field
  • Statistics and probability, particularly the application in systems analysis
  • Strong modeling, mathematical programming, and data visualization skills
  • Strong problem solving and data analysis skills
  • Experience in developing and applying advanced quantitative techniques toward solving business and information/technology problems
  • Working knowledge/experience with supply chain management - research experience in multiple areas is highly preferred
  • Able to work in a fast, collaborative environment, working with fellow scientists and data engineering teams for timely delivery of products
  • Experience with relational databases and SQL

Preferred Skills:
  • Experience deploying data science solutions to the business environment
  • Experience in open source programming languages for large-scale data analysis, Python/Spark and R preferred
  • Experience with machine learning
  • Experience with Big Data concepts and technologies (Hadoop, AWS, GCP)


#Corporate, #Technology
58491