Senior Data Scientist

Summary

Join Nuvei, a Canadian fintech company, as a Senior Data Scientist and contribute to the fraud and risk team focused on gaming, gambling, and skills-based games. You will leverage data analysis and visualization to evaluate risk and fraud, propose innovative solutions, build statistical models, and enhance data architecture for advanced fraud detection. Key responsibilities include data analysis, fraud detection modeling, building monitoring tools, optimizing auto-approval systems, experimentation, cross-functional collaboration, incident response, reporting, mentorship, and promoting best practices. The ideal candidate possesses 5+ years of experience in building data science/machine learning products, strong statistical and machine learning foundations, excellent communication skills, and proficiency in Python and SQL. Prior experience in gaming or high-risk industries is a plus. Nuvei offers a wide variety of benefits, including medical, dental, vision, paid time off, 401k, and more.

Requirements

• 5+ years of experience building data science/machine learning products, preferably with a focus on fraud/risk
• Strong statistical and machine learning foundations, including anomaly detection and classification
• Excellent communication skills with experience presenting to senior leadership
• Bring an entrepreneur and innovation mind set to Nuvei, advancing the adoption of next gen technology and capabilities
• Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch) and SQL
• English (written and spoken) is required as work involves cross-functional collaboration with teams across North America

Responsibilities

• Perform deep exploratory data analysis (EDA) on transactional and user behavior data to uncover fraud and loss patterns and anomalies
• Design, develop and refine learning models to prevent and payment fraud, consumer abuse, and while optimize authentication and conversation rates
• Build dashboards and automated monitoring for fraud risk indicators (fraud rates, chargebacks, etc.) for internal and external stakeholders
• Tune decisioning rules and model thresholds to prevent fraud while maintaining user experience
• Design and test new risk models to improve performance and business impact from new techniques
• Partner with product, engineering, and operations to deploy models into production and integrate with new and existing workflows
• Support fraud investigations and update models through post-incident learnings
• Present findings to senior leadership, shaping risk policies and product roadmap
• Mentor junior team members and promote data science and machine learning best practices across the team

Preferred Qualifications

Prior experience in gaming, gambling, fintech, or high-risk industries is a plus

Benefits

• Medical, Dental, Vision, STD, LTD, Paid time off, 401(k)
• Frequent training programs on new systems and platforms
• Free Virtual yoga, meditation and fitness classes, community involvement, and many social activities
• Group Private Medical Insurance
• Employee recognition program and possibilities for advancement in various fields
• Modern, dynamic and great work environment