Director of Data Science

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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

Director of Data Science

Overview
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. 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 Director of Data Science, you will:
• Be a senior practitioner and lead a team of data scientists delivering production quality attack detection models that run in real time to screen transaction networks.
o Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products
o Work with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modeling
o 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
• Python
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and holds strong grasp over data science and machine learning concepts, such as multiple of XGBoost/LightGBM/GBM, Isolation Forest, and clustering
• Strong background in statistics, probability, and linear algebra as applied to machine learning models.
• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative, critical thinking, and system’s thinking
• Graduate degree in CS, or a STEM related field

Nice to have:
• Prior experience in payment attack or fraud detection modeling
• Strong background in timeseries modeling techniques
• PhD 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

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 reasonable_accommodation@mastercard.com 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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.

Pay Ranges

O'Fallon, Missouri: $165,000 - $264,000 USD