Data Scientist at Clipwire Games developing models for game systems and data pipelines. Collaborating with product and development teams for analytics and insights.
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.
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
Benefits
15 days holiday in addition to bank holidays to relax and refresh throughout the year - with every 5 years of service, you’ll receive an extra 5 days!
Hybrid Working: We work in the office 2 days a week, Tuesdays and Thursdays. Wednesday is an optional office day. Lunch is provided on all 3 days.
Health & Wellness: Comprehensive Medical, Dental, and Vision coverage plus a $500 a year Wellness Benefit to spend towards personal and mental development.
Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Fun events that celebrate our achievements and our team spirit.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.
Data Scientist quantifying credit risk and developing models at Desjardins Group in Montréal. Leading projects and providing expertise in credit risk management and quantification.
Construction Manager overseeing various data center construction projects in Canada. Responsible for execution plans, monitoring progress, and managing labor relations.