Online Application
Advanced Analytics - Geospatial Data Scientist - LatAm - Brazil
Who you’ll work with

You will work with the Global Geospatial Analystics team based primarily in Sao Paulo, Brazil while also working with our teams in U.S., Costa Rica and China. ​You will interact daily with your colleagues from other locations as well as travel occasionally to serve clients internationally. In addition, you will benefit from all development and training opportunities that we have developed for our analytics colleagues worldwide as well as those designed specifically for knowledge professionals in our São Paulo office.

What you’ll do

You will be responsible for conducting specialized and distinctive analytics using large and complex data of different types to solve client problems - analyzing the drivers of performance to inform customer relationship management, developing an optimal distribution network configuration model for a global supply chain, or geographically optimizing a field sales force, working in a fast-paced team environment. 

Your work will be project-oriented. You will often be responsible for the entire analytical process from outlining the best solution to implementing the results. You will interpret results for colleagues, consultants, and clients, and you will often create plans for transferring capabilities to the client. You will perform these roles through a mix of remote and on-site work. ​Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills. You are expected to develop and contribute to such knowledge base on analytic methods and techniques, as well as relevant data and information sources used in geospatial analytics. 

Qualifications
  • Familiarity of analytical packages such as R, Python, SQL, etc., and approaches (regression, decision trees, clustering, neural networks, etc.) 
  • Strong interest in developing a knowledge base in geospatial analytics and solving location-based problems
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills
  • Strong team-orientation and a professional attitude
  • Ease communicating technical content in an easy to understand way 
  • Familiarity with GIS software (e.g., ArcGIS) and/or geospatial approaches (spatial analysis, network analysis, geographic visualization, etc.) is preferred, but not required 
  • Undergraduate degree in a respected institution and advanced degree from a related quantitative field (typically Economics, GIS, Computer Science, Finance, Business, Statistics, Physics, Mathematics, Engineering, etc.) with an outstanding collegiate academic record
  • Fluent English and Portuguese is a must. Spanish knowledge is a plus
  • Solid understanding of economic, financial, and general business concepts and terminology
  • Relevant experience in an operations research or analytics setting (public or private sector) is a plus

What to Expect


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Questions

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