Data Scientist

Sr. Data Scientist Toronto, Canada 18 months contract We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. Responsibilities: Lead data science projects focused on cyber analytics and fraud detection that will guide strategic decisions and uncover optimization opportunities. Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-add. Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions. Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders. Requirement: Experienced in building machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark and Hadoop. Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis. Experience with cloud platforms, such as AWS, is a plus. Familiarity with the payment card industry, fraud, and cyber security. Familiarity with web crawling and scraping using Playwright or other frameworks would be a nice-to-have. Excellent communication, good presentation skills. Able to partner with a diverse set of stakeholders, from product to engineering to marketing and legal. Incisive understanding of customer needs.

Lead data science projects focused on cyber analytics and fraud detection to guide strategic decisions. Build and maintain innovative analytical solutions and predictive models to identify compromised payment accounts.

Requires proficiency in Python, SQL, and distributed data frameworks like Spark and Hadoop. Experience in the payment card industry, cybersecurity, and cloud platforms like AWS is highly valued.

• SQLSouhaitée
• Apprentissage automatiqueSouhaitée
• CommunicationSouhaitée
• Amazon Web ServicesSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Apache Spark
• Hadoop
• SQL
• AWS
• Machine Learning
• Data Mining
• Predictive Modeling
• Cyber Analytics
• Fraud Detection
• Data Pipelines
• Quantitative Analysis
• Web Crawling
• Playwright
• Communication
• Stakeholder Management

• Data & Analytics
• Security & Safety
• Technology
• Finance & Accounting
• Software

Expérience minimale

5+ ans

Postuler avant le

23 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte