Proficiency in data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, etc.) * Knowledge of a data visualization tool (Power BI, Databricks AI/BI Dashboards ...
Proficiency in data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, etc.) * Knowledge of a data visualization tool (Power BI, Databricks AI/BI Dashboards ...
Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy * Proficiency in SQL programming * Knowledge of GitHub Action oriented ...
Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy * Proficiency in SQL programming * Knowledge of GitHub Action oriented ...
Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas, Scipy, Numpy, Matplotlib), Spark, etc. * Solid problem-solving approach, using statistics ...
Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas, Scipy, Numpy, Matplotlib), Spark, etc. * Solid problem-solving approach, using statistics ...
Matplotlib information
What is the difference between Matplotlib vs Seaborn?
| Aspect | Matplotlib | Seaborn |
|---|---|---|
| Primary Use | Data visualization library for creating static, animated, and interactive plots | Built on top of Matplotlib for statistical data visualization |
| Ease of Use | Requires more detailed coding; flexible but complex | Simplifies complex visualizations with high-level functions |
| Customization | Highly customizable with extensive options | Less customizable but offers attractive default styles |
| Learning Curve | Steeper for beginners | Gentler for users familiar with Matplotlib |
Matplotlib is a versatile library for creating detailed plots, while Seaborn builds on it to provide easier, aesthetically pleasing statistical visualizations. Users often start with Matplotlib for flexibility and switch to Seaborn for quick, attractive charts.
What are popular job titles related to Matplotlib jobs in Quebec?
For Matplotlib jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Matplotlib jobs in Quebec look for?
The top searched job categories for Matplotlib jobs in Quebec are:
Data Scientist, Fraud Detection Specialist
Montreal, QC • Hybrid
Desjardins Group
Full-time
Medical, Retirement, PTO
Posted 19 days ago
Job description
As Data Scientist, Fraud Detection Specialist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead practitioners on projects to develop models tailored to business needs in the field of fraud detection. You lead complex, strategic initiatives in advanced analytics and artificial intelligence, and serve as a data mining specialist advisor and subject matter expert. Your initiatives require extensive and in-depth knowledge of fraud detection. More specifically, you will be required to:
- Design models and strategies to quickly detect transactional anomalies
- Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
- Develop strategies for detecting transactional fraud
- Test the theoretical performance of fraud mitigation models, rules and tools
- Deploy fraud mitigation models, rules and tools into production
- Continuously monitor fraud patterns and how well models and strategies are performing
- Research and develop predictive variables to improve fraud detection
- Develop, update and produce dashboards, data visualizations and various reports
- Optimize and automate key fraud detection analytics processes
- Provide ad hoc advice on projects to improve fraud risk management tools
- Serve as an ad hoc advisor to the risk management teams and business sectors in your field
- Monitor the industry to understand and anticipate trends in your field in order to develop and update best practices for the organization.
What we offer*
- 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
* Benefits apply based on eligibility criteria.
#LI-Hybrid
What you bring to the table
- Bachelor's degree in a related field
- A minimum of four years of relevant experience
- Please note that other combinations of qualifications and relevant experience may be considered
- Experience working with the Microsoft Azure cloud platform
- Experience developing and implementing advanced analytics or predictive solutions
- Experience in analytics with transactional data
- Knowledge of French is required
- Ability to solve complex problems with multiple constraints
- Advanced proficiency in Databricks
- Proficiency with Apache Spark (PySpark or Scala)
- Proficiency in Python programming
- Proficiency in data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, etc.)
- Knowledge of a data visualization tool (Power BI, Databricks AI/BI Dashboards, Tableau)
Equity, Diversity, Inclusion and Accessibility
At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.
If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!
Trade Union (If applicable)
Job Family
Data (FG)Unposting Date
2026-09-1