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Senior Data Scientist - Data Services

Company

MindGeek
Address Toronto, Ontario, Canada
Employment type FULL_TIME
Salary
Category Technology, Information and Internet
Expires 2023-09-20
Posted at 8 months ago
Job Description
The Data Science team is responsible for improving business operations and user experiences. Billions of data points are recorded daily from our products. Projects include content recommendation and surfacing engines, computer vision tasks, bidding systems, and credit card fraud detection among others. We seek a Data Scientist to help enhance our current projects and work on fascinating new projects. The ideal candidate should be experienced and interested in owning data-driven projects from the first stages of research to the later stages of development and deployment.


What you'll be doing:
  • Prepare and train the model
  • Load and clean the data
  • Research: Discover solutions to unique data science challenges while satisfying business needs
  • Develop and Implement full solutions
  • Deploy, monitor and maintain the solution


What you'll need to be successful:


Must Haves:


  • Good team player and open to give and receive constructive feedback
  • PhD in a quantitative STEM field with an important data analysis component OR Msc. in a quantitative STEM field with 3+ years of experience as a Data Scientist
  • Familiarity with database environments (including distributed big data solutions) and functional SQL knowledge
  • Strong knowledge of data science algorithms and their limitations (execution speed, memory considerations, etc)
  • Experience with UNIX/Linux environments
  • Ability to communicate clearly to non-experts
  • Strong programming skills in Python and experience with Machine Learning tools (numpy, scipy,scikit-learn, pandas, pytorch/ tensorflow, ...)
  • Experience dealing with very large datasets


Nice to Haves:


  • Understanding and/or familiarity with non-interpreted (compiled) programming languages
  • Data science side projects or Kaggle competitions
  • Experience with cloud providers (AWS, GCP, Azure)


As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees


In this role you may be exposed to adult content