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
- Data Scientist at LawDepot optimizing the Checkout experience through data-driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Responsibilities
- Explore and analyze both experimental data and day to day user data to understand performance across the Checkout experience
- Own end to end analytical initiatives, identifying and executing on revenue opportunities informed by past experimentation, competitive analysis, and market trends
- Design, evaluate, and monitor controlled experiments, identifying follow up optimization opportunities
- Create baseline models and establish experiment metrics to measure uplift, validate hypotheses, and inform revenue growth decisions
- Translate behavioural insights into clear business recommendations tied to subscription valuation and monetization
- Develop SQL queries and Python code for data extraction, analysis, and automation
- Design dashboards that enable self-service reporting and support decision-making
- Build clear, actionable data visualizations that make insights accessible to stakeholders
- Apply appropriate statistical and modeling techniques based on the problem and available data
- Create and initiate monetization projects based on learnings from past initiatives, competitive analysis, and market trends
- Contribute to improving data tracking, event quality, and attribution logic over time
- Collaborate with analysts, developers, and product stakeholders to ensure accurate tracking and measurement
- Present findings in weekly team meetings and contribute to prioritization decisions
Requirements
- Post secondary education in Data Science, Business, Finance, Economics, Mathematics, Statistics, Computer Science, or a related field
- Solid foundation in statistical analysis, including hypothesis testing and interpreting experimental results
- Ability to execute well-scoped analytical tasks and models under minimal guidance, contributing accurate and timely insights to business problems
- Proficiency in SQL, including writing efficient queries with joins, aggregations, and filtering logic
- Familiarity with Python for data analysis and visualization (ex. pandas, Matplotlib)
- Proficiency in Microsoft Excel, including Pivot Tables, formulas, and data visualization
- Strong communication skills and ability to explain complex analysis clearly
- Proactive mindset with a willingness to take ownership
- Curiosity and a natural tendency to dig deeper into unexpected results
Benefits
- Comprehensive health and dental benefits, plus an additional Health Care Spending Account
- Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours)
- Three weeks paid vacation, plus bonus personal days
- Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets
- Company share plan
- Free catered lunches for the entire office
- Monthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities)
- Casual work environment
- Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team)
- Free and easily accessible parking
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 scaling Instacart’s Meals initiative for grocery delivery. Leading experimentation, KPI tracking, and product analytics to drive engagement, activation, and reactivation.
Senior Data Scientist optimizing bidding, pacing, targeting, and budgets for Instacart’s grocery delivery and advertising marketplace. Driving experimentation and production algorithms that improve advertiser outcomes and platform revenue.