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About the Role

Our Analytics team turns complex data into insight that drives business decisions across the North America and Latin America regions. We partner closely with business and finance stakeholders to measure performance, understand consumer behavior, and inform strategy at every level of the organization. We are looking for a Data Scientist to join the team. This is a great opportunity for an early-career analyst to grow their craft in a collaborative, fast-paced environment. Reporting to the Director of Analytics, you'll support modeling, reporting, and KPI tracking work while learning from experienced colleagues and contributing directly to deliverables that reach senior leadership.

Responsibilities

Support the design, build, and validation of statistical and machine learning models that answer business questions such as consumer behavior, segmentation, and forecasting.
Help maintain recurring reporting and KPI tracking — contributing to metric definitions, building data pipelines, and ensuring the numbers leadership relies on are accurate and timely.
Translate scoped requests from business and finance partners into clean analyses, and help communicate results back as clear recommendations.
Build and maintain dashboards and reusable tooling that make insight accessible to non-technical stakeholders.
Collaborate with cross-regional teams to support consistent data definitions and measurement across markets.
Contribute to quarterly business reviews and other stakeholder-facing deliverables.
Continuously develop your technical and analytical skills with support and mentorship from the team.

Requirements

Bachelor's degree in a quantitative field (Statistics, Computer Science, Economics, Mathematics, Engineering, or similar), or equivalent experience.
Foundational proficiency in SQL and Python (or R), including common data libraries such as pandas; internship, academic project, or early professional experience welcome.
Solid grounding in core statistics and machine learning concepts.
Strong attention to detail and a willingness to work with messy, real-world data end to end.
Ability to communicate findings clearly and a desire to grow comfort presenting to broader audiences.
Curiosity, eagerness to learn, and a collaborative approach to working across teams.
Exposure to consumer analytics, financial services, or payments is a plus.
Familiarity with BI/visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
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.
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Skills

SQL
Python
R
pandas
statistics
machine learning
Tableau
Power BI
Looker

Location

New York City, New York
Miami, Florida

Work Type

full-time

Experience Level

early-career analyst

Education Level

Bachelor's degree in a quantitative field

Salary/Compensations

New York City, New York: $110,000 - $176,000 USD
Miami, Florida: $92,000 - $147,000 USD

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
5 personal days
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
56 hours of Paid Sick and Safe Time (for interns)
jury duty leave (for interns)
on-site fitness facilities in some locations (for interns)

About the Company

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.

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.