Senior Data Scientist

Mastercard is seeking a Senior Data Scientist to develop and drive forward Mastercard's ambitious, data-driven open banking solutions, through the skillful application of data science and a highly customer-centric focus.

Requirements

• An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study.
• Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data.
• Real world experience of developing and deploying interactive dashboards based on Plotly's Dash framework.
• Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem.
• Excellent written and oral communication skills for both technical & non-technical audiences.
• Commercial experience of successfully utilizing time series and natural language processing (NLP - especially in relation to topic modelling and named entity recognition) methods.
• Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and libraries etc.).
• Experience of working in financial services with respect to consumer and/or business lending.

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;