Data Scientist II

Data Scientist II

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.

Are you energized by working with data to solve real business problems? Do you want to build a strong analytical foundation while making a visible impact? If so, we'd love to hear from you.

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.

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.

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 View email address on click.appcast.io 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.

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

New York City, New York: $110,000 - $176,000 USD

Miami, Florida: $92,000 - $147,000 USD