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Data Scientist-Pricing
BrandBest Buy

The vision of the Pricing and Merchandising Analytics team at Best Buy is to provide clear, relevant, actionable, measurable, and trusted insights to the enterprise, which will be acted upon to drive growth of the global enterprise.

We are seeking a Data Scientist who will provide statistical and mathematical support to partners throughout the Best Buy organization. The ideal candidate will have a strong basis in statistical modeling techniques such as: generalized linear models, gradient boosting, random forests, artificial neural networks, and other advanced techniques. The candidate should be comfortable with clustering, feature engineering and feature selection, dimension reduction techniques such as PCA or vector embedding, and should have experience working with time series data.

The individual in this position will work with both end business clients and peers within the pricing and analytics teams. The individual in this role will have the credibility and technical acumen to influence business stakeholders and peer decision making around the implementation and use of analytics within business decision making frameworks.

Key Responsibilities:
  • Develop and deliver advanced statistical and mathematical models to support insights within the organization that lead to fact-based decision making
  • Partner with the business and analytics teams to scope business questions and identify where analytics can have the greatest impact
  • Present analytical concepts and project results to a variety of audiences, including peers, business stakeholders, and leadership
  • As a technical leader and subject matter expert, remain current on state-of-the-art statistical methods useful in analytics and share knowledge with other analysts
  • Provide clear and organized documentation of analytical solutions, producing legible and reproducible research
  • Work cross functionally within Pricing Analytics to synthesize multiple sources of information as needed.
  • Manage multiple, varying sized projects concurrently
Minimum Requirements:
  • Bachelor’s degree with 4+ years’ experience in applied mathematical or statistical modeling, or 6+year’ of the same experience without a bachelor’s degree
  • 2+ years’ experience applying advanced analytical techniques to solve business problems
  • 2+ years’ experience in statistical or scientific programming using R or Python
Preferred Qualifications:
  • Master’s degree plus 2 years’ experience applying advanced analytical techniques to business problems in a corporate environment
  • 2+ years’ experience leading data science projects to include the following: understanding the context of business problems and translating them into research questions relating to data science or predictive analytics; appropriately using statistical learning techniques to answer questions or provide recommendations using available data.
  • Ability to clearly communicate ideas and results to a technical and non-technical audience
  • Experience with a broad variety of SQL and NoSQL database technologies
  • Experience with cloud-based advanced analytics in GCP (preferred), Microsoft Azure, or AWS
  • Experience managing data science projects with version control systems such as SVN or Git

Auto Req. ID745151BR
Employment CategoryInformation Technology
Job LevelIndividual Contributor
Location Number957100-105-Strat Pricing Merch Analytics
Address7601 Penn Avenue South


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