Lead Data Scientist

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 Data Scientist

Overview
The Security Solutions 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 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 A.I. and M.L. attack detection, 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.

Role
As a Lead 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
Lead the development of advancing attack detection models
Oversee implementation of data and model development pipelines
Explore anomalous and fraudulent patterns or trends for feature discovery and enhance attack detection model performance
Manage the testing of trained models to ensure their robustness and assess their readiness for deployment

All About You

Essential Skills:
Data science and data engineering experience
Knowledge of model optimization techniques and the ability to work closely with data scientists implementing and optimizing models within big data pipelines
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.
Experience with SQL language and one or multiple of the following database technologies: Hadoop, Spark, PostgreSQL.
Good knowledge of Linux / Bash environment
Python, Pyspark
Good communication skills
Highly skilled problem solver
Exhibits a high degree of initiative and critical thinking
Graduate degree in CS, or a STEM related field.
Demonstrated ability to independently contribute to overall team objectives.

Nice to have:
Experience building payment attack or fraud detection models
Experience in timeseries modeling techniques
Ph.D. degree in CS, Data Science, Machine Learning, AI or a related STEM field
Experience in with data engineering in PySpark on petabyte scale data
Understands and implements methods to evaluate own work and others for 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 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