Job Description
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
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.
As a Lead AI Data Engineer Major Responsibilities include:
- 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
Technical Skills:
- 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
Business Skills:
- 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.
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: $138,000 - $221,000 USD
Job Tags
Full time, Part time, Remote work, Worldwide, Flexible hours,