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
- Senior Data Scientist at Plusgrade leveraging machine learning for dynamic pricing and offer allocation. Collaborating with cross-functional teams to enhance data-driven decision-making across diverse environments.
Responsibilities
- Drive significant incremental business value by leveraging advanced machine learning to design, test, and implement advanced data science approaches for dynamic pricing, real-time offer allocation, and personalization, improving targeting and offer assignment within our marketing engine.
- Develop and optimize algorithms that balance business constraints, customer behavior, and engagement objectives to deliver optimal, data-driven decisions across offers and pricing.
- Design, enhance, and generalize models into scalable solutions that can be applied across products, partners, and diverse data environments.
- Leverage a wide range of data sources (e.g., partner, product, and third-party data) to enrich algorithms and clearly demonstrate measurable business impact.
- Lead and collaborate with cross-functional teams (Product, Engineering, Analytics) to establish best practices for developing, automating, and standardizing advanced data science solutions, with an emphasis on real-time applications.
- Champion scalable, automated production deployments by integrating algorithms into live systems through rapid iteration and experimentation, leveraging AWS infrastructure (particularly SageMaker) to deploy, monitor, and scale models in production.
Requirements
- 4+ years of experience researching, designing, and developing machine learning algorithms, with a strong focus on solving real-world business problems.
- Expertise in developing algorithms for real-time decision-making or dynamic optimization problems, such as offer allocation, continuous pricing, or recommender systems.
- Proficiency in machine learning, large-scale data processing, predictive analytics, and optimization techniques.
- Strong programming skills in Python, with hands-on experience using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Advanced SQL skills and familiarity with relational databases, enabling efficient manipulation of large and complex datasets.
- Hands-on experience working in AWS environments, particularly with SageMaker for building, training, deploying, and monitoring machine learning models at scale.
- The ability to conceptualize, design, and communicate complex algorithms to technical and non-technical stakeholders clearly and concisely.
- Innate curiosity to solve complex problems, derive actionable insights and iterate on innovative solutions.
- Strong business acumen and an ability to align data science initiatives with commercial goals, ensuring measurable business impact.
- A quantitative Master's or Ph.D. is required, or equivalent experience. Relevant fields include, but are not limited to, Computer Science, Engineering, Mathematics, Statistics, and Operations Research.
Benefits
- RRSP/401(k) Matching
- Comprehensive Health Plans
- Flexible Paid Time Off
- Travel Experience Credit
- Annual Wellness Credit
- Team Events
- Commuter Credit
- Work From Anywhere Program
- Parental Leave Top Up
- Adventure Pass
Job title
Job type
Experience level
Salary
Not specified
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.