Senior Data Scientist W/M/D

Million Victories; Augusta; Hybrid; CAD 82,000; Full time

Job summary

A gaming development company in Ontario is seeking a Senior Data Scientist to drive data-driven decisions using machine learning. The role involves model development, collaboration with game designers, and creating actionable insights. Ideal candidates should have 4+ years in data science and strong SQL and Python skills. The position offers flexible hybrid work and competitive compensation.

Benefits

Hybrid work: 3 days remote per week

Flexible working hours

Opportunity to become a shareholder

Lunch card

Access to sports equipment

Training & conferences support

Team lunches and Christmas gift card

Qualifications

• 4+ years of experience in data science focusing on machine learning.
• Experience with Lifetime Value (LTV) prediction and similar applications.
• Strong proficiency in SQL and modern data stack tools.

Responsibilities

• Develop and maintain machine learning models.
• Collaborate to optimize acquisition spend.
• Create dashboards and reports to surface key insights.

Skills

Machine Learning

Statistical Modeling

SQL

Python

Collaboration

Data Visualization

Tools

BigQuery

Looker Studio

dbt

Job description

Overview

The Studio

At Million Victories, we aim to bring the powerful emotions of Massively Multiplayer Online (MMO) games to millions of players: the thrill of epic battles, the pride of shared progress, the strength of a united community! To achieve this, we are redefining the genre: we create unique, innovative, and accessible MMO games for mobile. Backed by the successful completion of a nearly $40 million funding round, including both primary and secondary investments, and supported by a team of 35 professionals, we are accelerating our growth to take our game to the next level.

Our values: ambition, originality, respect.

Our culture: we believe it’s possible to pursue excellence within a culture of kindness.

At Million Victories, performance grows from trust, autonomy, and the richness of diverse backgrounds and perspectives.

Your Mission

As a Senior Data Scientist, you’ll be at the core of our data-driven decision-making process. You’ll use machine learning to forecast player behavior, especially lifetime value, and build tools and dashboards that bring our game and user acquisition data to life. You’ll work closely with game designers and marketing managers, helping them make smarter decisions grounded in data.

• Develop and maintain machine learning models for predicting LTV, churn, and player segmentation
• Collaborate with the user acquisition team to optimize acquisition spend and improve ROAS predictions using model insights
• Partner with game designers to analyze gameplay data, identify opportunities for improvement, and support A/B testing and feature iteration
• Create intuitive, actionable dashboards and reports, using Looker Studio or similar, to surface key insights across the company
• Design and interpret experiments to validate hypotheses and measure feature impact
• Help define and improve the data modeling layer, using dbt and BigQuery, to support analytics and ML use cases

Your Profile

You Have

• 4+ years of experience in data science, with a strong foundation in machine learning and statistical modeling
• Experience with LTV prediction, retention modeling, or similar applications in gaming, apps, or e-commerce
• Strong proficiency in SQL and experience with BigQuery, dbt, or other modern data stack tools
• Solid Python skills for building and deploying ML models
• Comfort working with visualization tools like Looker Studio, Tableau, or similar
• A deep understanding of data from mobile games, apps, or B2C consumer products
• Experience collaborating cross-functionally with non-technical stakeholders
• Fluent in English, knowledge of French is a plus

If you’re excited by the idea of working cross-functionally and translating between business needs and technical solutions, you’re in the right place.

Perks

Special Perks

• Hybrid work: 3 days remote per week
• Flexible working hours with the option of a 4.5-day week
• Opportunity to become a shareholder of the company

• Lunch card: €8/day, 50% covered by the company
• Access to sports equipment in the office
• Training & conferences supported to help you grow
• Quarterly/Monthly team lunches and a Christmas gift card
• …and more!

Recruitment Process

We care about making this first exchange a meaningful one:

• Initial phone call with Mélissa, our HR Manager, to understand your background and walk you through the process
• Interview with William our Lead Data Analyst, to align on expectations and vision
• Case study to assess your problem-solving and strategic thinking
• Discussion with Omar, a Data Analyst of the Business Intelligence team
• Final interview with Charles our CMO

Additional Information

Contract: Full-time, based in Lyon, Paris, or remotely

Start date: As soon as possible

Median Salary: €50,000 per year