Principal Data Scientist

• The Cyber and Intelligence Platform Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models.
• 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 are must be designed to scale, to be repeatable, resilient, and industrialized.
• You will be joining a team of Data Scientists working on innovative A.I. and M.L. fraud detection and anti-money laundering solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance.
• 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 A.I. model evaluation and reporting processes.

As a Principle Data Scientist, you will:

• 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 modeling
• Generate and maintain and optimize data pipelines for model building and model performance evaluation
• Overall responsibility for development, testing, and evaluation of modern machine learning and A.I. models for specific products
• Oversee implementation of models
• Evaluate production models based on business metrics to drive continuous improvement

Essential Skills:
Data engineering experience
Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza, Spark, Oracle.
Good knowledge of Linux / Bash environment

Python and one of the following machine learning libraries

oSpark ML
oTensorFlow or related deep learning frameworks
oScikit Learn
oXGBoost

• Good communication skills
• Highly skilled problem solver
• Exhibits a high degree of initiative
• At least an undergraduate degree in CS, or a STEM related field
• Prior experience in payment fraud detection modeling

• masters or 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

• 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