Lead Data Scientist

MasterCard-posted 3 months ago

$159,000 - $265,000/Yr

Full-time • Senior

New York City, NY

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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. The Foundational AI team is looking for a Data Scientist who is passionate about applying concepts from Topological Data Analysis (TDA) to 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 while making scientific contributions to the Data Science community.

Lead, design, develop, and deliver innovative 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).
Present results in either peer-reviewed papers or presentations at scientific and business conferences.
Gain mastery 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 TDA as well as ML/AI tools and techniques.
Work with different partner teams and be an integral part of model deployment.
Need to build and maintain strong relationships with internal Mastercard partners.

Master's or PhD in Pure or Applied Mathematics, or an allied field, with in-depth knowledge of topology, preferably topological data analysis.
Experience leading research projects, with a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence.
Leadership experience, either in a business setting or the classroom.
Ability to quickly pick up new tools and technologies.
Excellent oral and written communication skills.
Experience in predictive modeling, data science, and analysis in both batch and streaming settings.
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. Experience in entity resolution is a plus.
Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
Proficient with data visualization and translating complex problems into actionable insights.

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

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