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Research, Global Tech Sales

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Category: 
Data/Analytics
Status: 
Full-Time
Contact Email: 
chris.chauvin@anheuser-busch.com
Description: 

Researcher, Global Tech Sales (Full-Time)

Global Tech Sales We are looking for a person that is able to balance a deeply analytical background with an entrepreneurial spirit. You are willing to embrace our passion about beer and want to be part of a start- up style environment with the resources and future opportunities of a large corporation. Ideally you have a broad skill set and are willing to take on any challenge.

Purpose of Role

  • Lead development of Advanced Analytics algorithms and tools to facilitate research and capabilities development for the Global Tech Sales team.

  • Operationalize research methodologies efficiently and effectively

  • Maintain databases and handle relationships with 3rd party data vendors

  • Source new data either through 3rd party vendors or web-scraping

  • Manage team of Graduate level researchers in the Bud Lab

    Education

    Master's or PhD in Statistics, Mathematics, Economics & Econometrics or related analytics field.

    Mandatory Requirements

  • 2+ years’ experience in programming in a quantitative analytics setting

  • Experience with SQL, Python, R/MATLAB, C++, Java, JavaScript, HTML, CSS

  • Proven skills in translating algorithms to end-user tools/research support tools

  • Experience manipulating large technical data sets

  • Experience in clustering analysis, modeling, and regression based analysis

  • Able to transform statistical models into business insights for senior leadership

  • Microsoft Office skills (Excel, PowerPoint, Word)

  • Expertise working with R and SQL

  • Strong written and verbal English skills (Fluency)

    Primary Responsibilities

  • Lead data scientist team in delivering experiment solutions to internal clients, as agreed upon through service level agreements.

  • Responsible for the proven/rejected hypothesis output from each experiment (this includes statistical output reinforcing results)

  • Accountable as the technical expert to each experiment team recommending design, and managing output based on formulated hypothesis

  • Solve requirements for integrated and consistent business data across the NA Zone.

Applications

Please send your Resume and Cover Letter to the following:

 


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