Principal Data Scientist

Mastercard; Toronto; On-site; CAD 130,000 - 160,000; Full time

Job summary

Join Mastercard as a Principal Data Scientist, where you'll lead the development of AI and machine learning models aimed at fraud detection across our global network. Collaborate with a talented team to create robust data pipelines and contribute to secure, innovative solutions for Fortune 500 partners in the fintech sector.

Qualifications

• Extensive data science experience with significant leadership roles.
• Proven full lifecycle model development experience.
• Strong skills in SQL, Python, and data engineering.

Responsibilities

• Develop and optimize AI and ML models for fraud detection.
• Handle multiple data sources and build cohesive datasets.
• Evaluate and oversee implementation of production models.

Skills

Leadership

Problem Solving

Data Engineering

Communication

SQL

Python

Education

Bachelor's in Computer Science or related STEM field

PhD/Master’s in CS, Data Science, Machine Learning, or related STEM field

Tools

PySpark

Hadoop

Databricks

Linux/Bash

XGBoost

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Principal Data Scientist Overview

The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models focused on fighting fraud across the Mastercard ecosystem. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.

You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and banking. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.

Role

As a Principal Data Scientist, you will:

• Be a senior practitioner researching and building production quality fraud models that run in real time to screen transaction networks
• Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products
• Work with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modelling
• Generate and maintain and optimize data pipelines for model building and model performance evaluation
• Set the roadmap and identify methods and approaches that enhances the performance of existing fraud detection models
• Overall responsibility for development, testing, and evaluation of modern machine learning and AI models for specific products
• Oversee implementation of models
• Evaluate production models based on business metrics to drive continuous improvement

All About You

Essential Skills:

• Extensive data science experience and significant leadership roles
• Demonstrated full lifecycle model development, deployment and evaluation for complex problems
• Experience with SQL language and the following technologies: PySpark, Hadoop, Databricks
• Good knowledge of Linux / Bash environment
• Solid Python skills
• Familiarity with XGBoost
• Strong communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
• At least an undergraduate degree in CS, or a STEM related field

Nice to have:

• PhD/Master’s in CS, Data Science, Machine Learning, AI or a related STEM field
• Experience in with data engineering and model building in PySpark using Spark ML on petabyte scale data
• Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
• Loves working with error-prone, messy, disparate, unstructured data

#SecuritySolutions Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.