Data Scientist

Engineering | Toronto, Ontario, Canada

At BNOTIONS  everyday you have the opportunity to affect how millions of consumers engage with technology and some of the world’s biggest brands. On top of that, you’ll be working with incredibly smart, humble, and passionate people who have fun everyday solving complex problems. 

In this role you will:

  • Frame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^10 records), complex (not always well-structured, highly variable) data sets

  • Source, scrub, and join varied data sets from public, commercial, and proprietary sources

  • Design and implement scripts, programs, databases, and other software components

  • Draw conclusions and effectively communicate findings with both technical and non-technical team members

  • Review relevant academic and industry research to identify useful algorithms, techniques, libraries, etc.

  • Provide technical thought leadership and manage teams of data engineers

Basic Qualifications

  • Higher education degree in Math, Statistics, Computer Science, or other quantitative discipline

  • 5+ years experience in R, Perl, Python, Java, or other languages appropriate for large scale analysis of numerical and textual data

  • 5+ years experience with data mining, machine learning, statistical modeling tools and underlying algorithms

  • 3+ years experience with relational databases and SQL

  • 3+ years experience working with extremely large structured and unstructured data sets

Preferred Qualifications

  • Experience with Hadoop or similar distributed computing and storage platforms

  • Ability to work independently in a fast paced, unstructured environment

  • Graduate degree and/or PHD in Math, Statistics, Computer Science, or other quantitative discipline

  • Extremely strong analytical and problem-solving skills