Goverlytics - BC-533

Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences, Design, Social Sciences & Humanities, Interactive arts and technology, Political science, Visual arts
Company: IOTO International Inc.
Project Length: Flexible
Preferred start date: 01/05/2021
Language requirement: Flexible
Location(s): Greater Vancouver, BC, Canada; Canada; Canada; Canada
No. of positions: 1
Preferred institutions: British Columbia Institute of Technology, Concordia University, University of British Columbia, University of Toronto, University of Waterloo

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About the company: 

IOTO International Inc. (IOTO), was established 23 January 2003 to research and develop small world digital media solutions to real world problems.  A BC incorporated SME, IOTO embraces lean and agile methodologies to create elegant solutions.  We are a learning organization.

Please describe the project.: 

The selected researcher will be working in a small team, and will be inspired by sports analytics. The researcher will work in a project involving  large social sciences datasets, machine learning, and natural language processing tools to better understand performance, attribution, and outcomes.   

Required expertise/skills: 

  • comfortable with PostgreSQL, Python and JavaScript 
  • capable of using a broad range of scraping, analytics, and visualization tools using an AWS cloud environment
  • strong mathematical and analytical skills  and you can to apply those skills to traditionally non-quantitative domains
  • a background in media, music, sports (including e-sports), politics, or performing arts would be an asset

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