Data Scientist in Charlotte, NC at Vaco

Date Posted: 9/10/2020

Job Snapshot

Job Description

**U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.**

Vaco is looking for a talented Data Scientist to join a rapidly growing Analytics team in the Charlotte area.

Responsibilities:

  • Perform high quality, sophisticated analysis in support of internal projects related to pricing, inventory sourcing, logistics (which vehicles should we ship to which stores), and credit/loan decisioning.
  • Develop new predictive models to enhance revenue and business understanding. This includes the design, implementation and interpretation of complex statistical analyses.
  • Present analysis, models, and insights to clients and internal groups.
  • Monitor health of existing models and recommend enhancements to meet business needs.
  • Work collectively with analytics product managers, data engineers, software developers, and analytics engineers (i.e. DevOps) to glean insights and needs from the business, brainstorm best solutions, build/leverage data pipelines, build and test statistical models, productionalize code, and deploy models

Qualifications:

  • Expertise in two or more of the following areas: mathematical programming, statistics, forecasting, machine learning combinatorial optimization
  • Experience using Python & SQL is a MUST have
  • Excellent business acumen
  • Ability to structure and analyze large data sets.
  • Proficient in Microsoft Office Products.
  • Experience with cloud platforms (preferably Azure but AWS acceptable as well)
  • High level of comfort in a *NIX environment.
  • Excellent written, verbal, and presentation-based communication skills.
  • Experience with MicroStrategy and/or other reporting platforms a plus.
  • Experience with some type of source code management (ex: Git)
  • 3 - 5 years minimum of relevant work experience.
**U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.**