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Data Scientist

Posted March 16, 2026
Permanent - Full Time

Job Overview

Who are we?

Tripledot
is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our studio: Clipwire Games

Clipwire Games is one of Canada's top grossing mobile game developers, and the creator of Monopoly: Bingo!, TPIR: Bingo! and Bingo Story. Founded in Toronto over 10 years ago, we’ve had tremendous success and are poised for another decade of record growth. Our company is built on strong values, work ethic, and intelligent data driven growth. We work hard, have fun, innovate, and level-up every day.

To work at Clipwire means becoming part of our future right now. We have reached our current growth rate because we support, promote, and develop our team so that they can make great games. Come find out what all the buzz is about!

Role Overview

Clipwire Games is growing and looking for a Data Scientist to deepen the technical foundation of our data practice and help shape the future of our games through rigorous quantitative work.

This role is ideal for someone who leads with technical depth — you are more comfortable building a statistical model or designing an experiment from first principles than pulling together a dashboard. You will work across game economy modelling, experimentation, and data pipelines, partnering closely with the Product and Development teams to deliver robust, reproducible work.

This is a hands-on, autonomous role. You will own your work end-to-end — from pipeline to insight — and take pride in the quality of your code and methodology.

Key Responsibilities

  • Develop statistical models and simulation frameworks to evaluate game systems such as progression, rewards, and in-game economies.
  • Build and maintain scalable data pipelines, datasets, and tooling required to support modelling, forecasting, and experimentation infrastructure.
  • Design and implement experimentation frameworks used by product teams to evaluate new features, balance changes, and content releases.
  • Partner closely with development teams to ensure reliable in-game data collection and robust instrumentation for analytical systems.
  • Write production-quality code for data transformation, modelling, and simulation using modern data and software development practices.
  • Develop reusable libraries, tools, and frameworks that support experimentation, statistical analysis, and game system modelling across titles.
  • Forecast the impact of design changes using predictive models and simulation techniques.
  • Maintain clear documentation, version control, and reproducibility standards for analytical code and modelling workflows.
  • Support complex technical investigations involving large-scale player behaviour datasets and game system performance.

Skills, Knowledge and Expertise

  • Expert-level SQL and strong Python — writes clean, well-structured, production-quality code
  • Comfortable owning data infrastructure end-to-end
  • Deep statistical knowledge — experimental design, causal inference, Bayesian methods, and distribution modelling
  • Hands-on experimentation experience: power analysis, sequential testing, multivariate design, and correct result interpretation
  • Experience building economy models or simulations — understanding of virtual currencies, balance dynamics, and forecasting
  • Highly self-directed — able to scope, prioritise, and deliver complex technical work independently
  • Able to communicate technical approaches and trade-offs clearly to non-technical stakeholders
  • Background in mobile or free-to-play games is a strong asset

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