Data Scientist

80470
Permanent/Direct Hire
3 weeks ago

Position title: Data Scientist
Location: Downtown Toronto – Hybrid 3 days a week (Tues-Thurs)

  • Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data
  • Building and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production
  • Designing rich data visualizations to communicate complex ideas to customers or company leaders
  • Designing and analyzing experiments to optimize business strategies
  • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow

The Ideal Candidate will be:

  • Curious: You ask why, you explore, you’re not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
  • A Wrangler: You know how to programmatically extract data from various databases and APIs, bring it through a transformation or two, and model it into human-readable insights (Matplotlib, Seaborn, Tableau, etc.).
  • Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.
  • Proactive: You want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.
  • An Expert: You have superpowers you can’t wait to share. You have expertise in key aspects of model development, model deployment, or inference such that you are the go-to person in those areas.
  • An Emerging Leader: You feel comfortable running point on big, complex projects. You know how to motivate others and bring them along your journey. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences.

Benefits

  • Your choice of hardware – latest MacBook Pro or HP EliteBook and all the monitors you want!
  • With Manager approval, you can travel to a conference of your choice annually – PyCon, PyData, AWS re:Invent, KDD, etc.
  • Various internal training opportunities across our US and Canada locations
  • $5000/yr education budget
  • Hybrid work environment with flexible work hours, dress code, and environment

Basic Qualifications:

  • Bachelor’s Degree in a quantitative field
  • At least 3 years of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
  • At least 3 years of experience with version control system like GitHub
  • At least 3 years of experience with machine learning or predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc…)
  • At least 3 years of experience with relational databases and programming in SQL

Preferred Qualifications:

  • Master’s Degree or PhD
  • Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
  • Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)
  • Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.)
  • Experience with experimental design
  • At least 5 years’ experience in Python or R
  • At least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
  • At least 5 years’ experience in SQL