Lead Data Scientist

Mastercard • O'fallon, MO

11d

About The Position

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

The Foundational AI team is looking for a Lead Data Scientist who is passionate about applying concepts from Machine Learning and Artificial Intelligence problems in a business setting. The person in this role will be joining a team of leading-edge data scientists who are not just building models but are working to solve foundational business problems for the Company. The ideal candidate is comfortable working with Big data sources and able to implement and validate predictive models to provide insights and solutions for different business problems. The person in this role will be responsible for data interpretation and presentation to aid business partners in making informed data-driven decisions to improve business outcomes. The right candidate is able to collaborate with other data scientists and various internal business partners to help solve business problems using advanced ML/AI. The person in this role must be organized and follow best practices in coding and documentation.

Requirements

• Having a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence.
• Ability to quickly pick up new tools and technologies.
• Excellent oral and written communication skills.
• Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility.
• Experience in anomaly detection, supervised/ unsupervised learning, time-series data, and natural language processing.
• Hands-on experience with Python packages such as Gudhi, Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
• Excellent organization and interpersonal skills.
• Very detail-oriented with an ability to think creatively.
• Strong problem-solving skills and ability to think creatively with data.
• Self-motivated and capable of working independently but with a collaborative nature.
• Proficient with data visualization and translating complex problems into actionable insights.
• 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.

Responsibilities

• Design, develop, and deliver innovative ML/AI solutions for various data science projects.
• Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM).
• Gain a clear understanding of business operations and data needed to solve problem statements for specific projects.
• Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners.
• Present your approach to the solution and model output to various business partners.
• Maintain a current knowledge of advanced ML/AI tools and techniques.
• Work with different product teams and be an integral part of model deployment.
• Need to build and maintain strong relationships with internal Mastercard partners.

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
• Education Level: No Education Listed