A global interactive entertainment leader in Toronto is looking for an experienced full-stack data scientist to build critical ML products. You will leverage your skills in machine learning and software engineering to develop innovative tools and solutions across various gaming platforms. Candidates should have over four years of experience and solid backgrounds in statistical modeling, SQL, and Python. This role offers a competitive salary and a comprehensive benefits package.
Prestations
Medical, dental, and vision insurance
Paid vacation time
Paid parental leave
Qualifications
4+ years of experience in data science, machine learning or analytics roles.
Experience with Bayesian modelling preferred.
Experience crafting large‑scale ML pipelines.
Responsabilités
Build end‑to‑end solutions for marketing and product functions.
Implement machine‑learning pipeline technologies.
Use AWS, Databricks, and PySpark to develop innovative tools.
Connaissances
Statistical modelling
Machine learning methods
SQL proficiency
Python proficiency
Mentorship skills
Formation
BS in Computer Science, Math, Statistics, Economics, or other quantitative field
Outils
AWS tools
Databricks
Airflow
Description du poste
A global interactive entertainment leader in Toronto is looking for an experienced full-stack data scientist to build critical ML products. You will leverage your skills in machine learning and software engineering to develop innovative tools and solutions across various gaming platforms. Candidates should have over four years of experience and solid backgrounds in statistical modeling, SQL, and Python. This role offers a competitive salary and a comprehensive benefits package.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.