Posting record
Open 12+ days
- Biggergames' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Biggergames, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 2+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
We're looking for a Data Scientist who thrives on solving complex problems and uncovering insights that drive top-performing games. In this role, you'll collaborate closely with the Marketing, Development, and Product teams to analyze player behaviour, optimize game performance, and turn data into actionable strategies. Your expertise in statistical analysis, machine learning, and data visualization will play a key role in shaping our games and enhancing player experiences.
ABOUT THIS ROLE
- Bachelor’s degree in a relevant field from a recognized university.
- 2+ years of experience in data science, preferably in gaming or tech.
- Expertise in statistical analysis, machine learning, and data visualization.
- Proficiency in Python
- Strong analytical mindset with a sharp eye for detail and problem-solving.
- Excellent communication skills, capable of translating complex data into actionable insights for non-technical teams.
- Passion for gaming, with a deep understanding of player behaviour and game mechanics.
YOU COULD BE A GREAT FIT IF
- Extract insights from large datasets to identify trends and opportunities.
- Develop and implement data models and machine learning algorithms to enhance game performance and player experience.
- Collaborate cross-functionally to integrate data-driven strategies into game development and decision-making.
- Design and execute A/B tests to measure the impact of new features and optimizations.
- Monitor and refine in-game metrics to maximize player satisfaction and retention.
- Translate data into action, providing strategic recommendations to improve engagement and monetization.
Something wrong with this posting?