Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Head of Data Science & Analytics overseeing the data function for Big Viking Games. Responsible for transforming data into actionable insights across various business areas in a hybrid role.
Responsibilities
- Build and own the company’s data science and analytics function from the ground up.
- Partner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plans.
- Develop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performance.
- Personally perform hands-on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case development.
- Improve the quality, consistency, and reliability of company metrics, reporting, and data definitions.
- Identify gaps in data collection, instrumentation, data architecture, reporting, and operational visibility.
- Partner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasets.
- Design dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done next.
- Lead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live-service operations.
- Support experimentation, A/B testing, measurement frameworks, and decision-ready analysis for product and business initiatives.
- Implement practical AI-driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisions.
- Explore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics, operations, product, and leadership reporting.
- Establish best practices for responsible AI use, data privacy, analytical rigor, documentation, and repeatable workflows.
- Over time, hire, coach, and lead a high-performing data science, analytics, and/or BI team.
Requirements
- 8+ years of experience in data science, analytics, business intelligence, product analytics, or a related data discipline.
- Experience operating in a gaming, digital product, SaaS, consumer technology, marketplace, or live-service environment.
- Strong hands-on analytical skills, including advanced SQL and experience with Python, R, or similar analytical tools.
- Proven ability to translate ambiguous business problems into structured analysis, clear recommendations, and executive-level narratives.
- Experience building dashboards, reports, KPI frameworks, and decision-support tools for senior leadership.
- Strong understanding of product analytics, user behavior, retention, engagement, monetization, segmentation, cohort analysis, forecasting, and experimentation.
- Experience working with data engineering, product, finance, marketing, and executive teams.
- Experience implementing or adopting AI tools, GenAI, copilots, agentic workflows, workflow automation, or AI-enabled analytics processes.
- Ability to operate independently in a hands-on capacity before a larger team is built.
- Strong communication skills, with the ability to explain complex analysis in clear business language.
- Demonstrated ability to build structure in an environment where data, processes, tooling, or reporting may still be maturing.
Benefits
- Comprehensive benefits package (health, dental, and vision) including HSA/WSA spending account from Day 1
- Participation in the Employee Stock Option Plan (ESOP)
- RRSP participation and matching
- 15 Vacation Days + 10 Wellness Days
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist building IFRS 9, behavioural, and predictive credit - risk models for Financeit’s Canadian point - of - sale financing platform. Automating analytics and translating borrower data into actionable risk insights.
Scientifique de données principal optimisant acquisition, fidélisation et monétisation chez Shakepay, plateforme canadienne de services financiers Bitcoin. Pilotage de l'expérimentation, de l'analyse statistique et des décisions de croissance.
Senior Data Scientist developing machine learning and LLM solutions for Qventus, transforming healthcare operations. Building production models, experiments, and data pipelines that improve patient outcomes.
Data Scientist developing statistical and machine learning algorithms to detect bots and fraud. Supporting HUMAN Security’s platform that protects enterprises and internet platforms from cybercrime.
Data Manager leading clinical - trial database, validation, reconciliation, and lock activities for ClinChoice, a global full - service CRO. Hybrid permanent role in Mississauga, Ontario.
Data Scientist validating financial, risk, and AI models at Desjardins. Ensuring model quality, explainability, governance, and responsible AI use.
Data Scientist developing and maintaining credit risk models for Desjardins, a financial cooperative. Advising teams on risk quantification, Basel/IFRS standards, and credit decisions.
Senior Data Scientist optimizing Instacart’s $1B+ grocery advertising business through pacing, bidding, targeting, and experimentation. Driving production algorithms and revenue outcomes.
Senior Data Scientist scaling Instacart’s Meals initiative for grocery delivery. Leading experimentation, KPI tracking, and product analytics to drive engagement, activation, and reactivation.