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About the Role

Mastercard's International, Open Banking, Product Value Proposition Team is seeking a Senior Data Scientist to develop and advance data-driven open banking solutions. This role focuses on applying data science techniques to create market-leading analytical solutions, particularly in affordability/credit decisioning and identity/income verification use cases, to empower consumers and drive client value.

Responsibilities

• Apply data science techniques to large datasets from development to deployment support for market-leading solutions and insights.
• Collaborate with data engineers and developers to build and deploy interactive dashboards with engaging insights and UX for clients.
• Communicate effectively with clients and stakeholders to understand and meet their requirements.
• Conduct customer trials to grow open banking impact, supporting data specification, analysis, and result presentation.
• Proactively pursue product excellence by investigating new data sources, encouraging cross-team collaboration, managing projects, and utilizing new tools and techniques.
• Develop and implement team methods for rapid prototyping, reproducibility, productivity, automation, and data governance.
• Engage with the wider Mastercard data science community to share best practices, knowledge, and insights.

Requirements

• An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or a similar field.
• Multi-project, hands-on experience in the end-to-end data science process with large, complex data, from problem framing to results communication and solution deployment.
• Real-world experience developing and deploying interactive dashboards using Plotly's Dash framework.
• Workplace Python coding experience, including a strong knowledge of the principal Python Data Science/Machine Learning (ML) library ecosystem.
• Excellent written and oral communication skills for both technical and non-technical audiences.
• Demonstrated engagement through collaboration, teamwork, independent work, and professional development.
• Commercial experience successfully utilizing time series and natural language processing (NLP) methods, particularly topic modeling and named entity recognition.
• Good working knowledge of supervised and un-supervised ML techniques.
• Practical knowledge/experience of solution deployment, including data science pipelines, MLOps frameworks, and libraries.
• Experience working in financial services related to consumer and/or business lending.

Skills

• Data Science
• Open Banking
• Python
• Data Science/Machine Learning (ML) library ecosystem
• Plotly Dash framework
• Time Series Analysis
• Natural Language Processing (NLP)
• Topic Modelling
• Named Entity Recognition
• Supervised Learning
• Unsupervised Learning
• Data Pipelines
• MLOps

Location

• Salt Lake City, Utah

Work Type

• Full-time

Experience Level

• Senior

Education Level

• Undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field

Salary/Compensations

• $115,000 - $184,000 USD

Benefits

• Insurance (medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (16 weeks of new parent leave, up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time
• 5 personal days
• 10 annual paid U.S. observed holidays
• 401k with company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Tuition reimbursement

About the Company

• Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
• As a global technology company, our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, 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.
• 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.

Equal Opportunity

• 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.