Lead, AI Data Engineer

Mastercard • O'fallon, MO

83d • $138,000 - $221,000

About The Position

Lead, AI Data Engineer Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. The Cyber and Fraud Solutions Data Science team is responsible for developing Artificial Intelligence products to help issuers, acquirers and merchants fight fraud. We are seeking a highly skilled and self-motivated AI Data Engineer to join our Data Science Team. In this role, you will design and build scalable data pipelines, robust feature engineering workflows and create shared tools that empower data scientists across the organization.

Requirements

• Proficiency in Python and SQL
• Experience with SQL language of the following database technologies: PostgreSQL, Oracle, Hadoop
• Big Data Engineering experience – Spark, Kafka, Hive, Impala, Sqoop, AirFlow, NIFI
• Experience in Linux/Bash Environment, multiple scripting languages and storage systems
• Understanding machine learning workflows, model training, and inference pipelines
• Building ML Feature Engineering workflows experience and familiarity with feature store
• Hands-on experience with cloud platforms
• Experience building or supporting DQ drift monitoring systems for ML models
• Understanding of the importance of data organization and security

Nice To Haves

• Strong communication, collaboration, and leadership ability
• Subject matter expertise in payments, cards, and/or fraud or proven ability to learn and master new subject matter areas
• Creativity, curiosity, and innovation
• Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks
• Experience developing new products/services
• Ability to combine knowledge across multiple disciplines to solve problems
• Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization
• Excellent inter-personal skills, able to work with colleagues remotely as well as in-person

Responsibilities

• Leading team in the creation of portfolio robust analytical solutions through effective use of Mastercard’s global data assets and software platform
• Independently maintain and organize data and tools for data transfer, mining, cleaning/processing, and validation
• Design, build, and maintain data pipelines for structured and unstructured data used in AI/ML models
• Develop and manage feature stores to support consistent feature computation across training and inference
• Recommend ways to improve data quality and efficiency
• Collaborate with ML Engineering and ML Ops teams in building DQ Drift Monitoring AI Systems
• Contribute to the development of AI microservices for integrating data pipelines with model APIs
• Collaborate with cross-functional teams and have opportunities to grow and develop as an AI Engineer

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees