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Data Scientist IV - Full-time
•30 days ago
| Hours | Full-time |
|---|---|
| Location | Hoffman Estates, IL Hoffman Estates, Illinois |
About this job
Business Unit: Supply Chain Optimization and Modeling
Scope of Responsibility: Design algorithms and develop scalable solutions and models that allow for analyzing trends and scenarios in supply chain and inventory.
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 Duties/Responsibilities:
Job Requirements:
Preferred Skills:
Equal Opportunity Employer / Disability / Vet.
Scope of Responsibility: Design algorithms and develop scalable solutions and models that allow for analyzing trends and scenarios in supply chain and inventory.
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 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 or R preferred
- Experience with machine learning a plus
- Experience with Big Data concepts and technologies (Hadoop, Spark) is a plus
Equal Opportunity Employer / Disability / Vet.