Platform ML: Full-Stack Data Scientist

Zynga; Toronto; On-site; CAD 115,000 - 143,000; Full time

Job summary

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.

Benefits

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.

Responsibilities

• Build end‑to‑end solutions for marketing and product functions.
• Implement machine‑learning pipeline technologies.
• Use AWS, Databricks, and PySpark to develop innovative tools.

Skills

Statistical modelling

Machine learning methods

SQL proficiency

Python proficiency

Mentorship skills

Education

BS in Computer Science, Math, Statistics, Economics, or other quantitative field

Tools

AWS tools

Databricks

Airflow

Job description

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.