Senior Data Scientist focused on scaling measurement products at Northbeam. Responsibilities include translating methodologies into production systems and collaboration across teams.
About the role
- Data Scientist developing and updating fraud detection models for credit applications at Desjardins. Collaborating with stakeholders to enhance fraud detection mechanisms in digital environments.
Responsibilities
- Develop and update fraud detection models and rules related to the new self-service credit application journeys.
- Create, calibrate and monitor the performance of models and rules.
- Analyze emerging and complex fraud patterns for self-serve digital journeys and recommend adjustments.
- Research, design and improve features related to fraudulent behaviour.
- Work with business partners and fraud teams to translate operational needs into practical analytical solutions.
- Help document and understand models and their performance and explain them to stakeholders.
- Help solve analytical issues involving business, technological and regulatory constraints.
Requirements
- Bachelor’s degree in computer science, statistics, mathematics, data science or a related field
- At least four years of relevant experience in quantitative analysis, modelling or data science
- Experience developing and deploying advanced analytics or predictive solutions
- Experience with transactional or decisioning data
- Experience working with cloud platforms such as CP4D or Microsoft Azure
- Experience with Apache Spark (via PySpark or Scala) or knowledge of Databricks
- Knowledge of French is required
- Knowledge of Python and SQL programming
- Knowledge of data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, PySpark etc.)
- Ability to analyze complex issues and propose solutions tailored to business needs
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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.
Senior Product Data Scientist defining and leading product experimentation and ML insights at MaintainX. Collaborating with cross - functional teams to improve product adoption and retention.
LP
Director, Data Management Office (Wealth Americas)
LinkedIn Recruiter Post
Lead data governance and management across Wealth businesses, driving alignment with enterprise standards and shaping data culture.
Senior Data Scientist leading high priority data initiatives to support Sales at Wealthsimple, Canada's leading financial innovator. Collaborate with diverse teams to model sales data, improve processes, and develop ML solutions.
Statistical Methodology Data Scientist enhancing research methodologies at Roche. Supporting decision - making through expert guidance and collaboration with various teams in clinical research.
Data Scientist developing custom AI solutions by extracting insights from data at BDO. Collaborating cross - functionally to leverage advanced machine learning and data processing techniques.
Lead Data Scientist at McKesson focusing on Generative AI and ML solutions. Address complex healthcare challenges and drive business transformation via innovative technology.
Data Scientist responsible for ensuring reliability of ML models at Jobber. Collaborating closely with product teams and contributing to AI systems.
Data Scientist II responsible for developing innovative AI solutions and supporting data - driven strategies at Intact. Collaborating across departments to enhance data insights and recommendations.
LP
Senior Data Scientist – Wealth Management
LinkedIn Recruiter Post
Senior Data Scientist needed for Wealth Management in Toronto, ON. Lead AI/ML initiatives, drive insights for investment decisions and operations.