Our Purpose
We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
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Title and Summary
Data Scientist I, Launch Program 2025 - United States
This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role.
Overview
Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.
Launch Program
The Launch program is a development program that is supplemental to the role and is designed to help you transition from being a student to being a Mastercard employee. In this program, you will participate in:
- Four-day orientation focused on getting to know Mastercard, building your skills, and be a force for good (Mastercard's culture)
- Professional skills workshops
- Launch Innovation Week
- Social impact - pro bono team challenge
- Global Volunteer Challenge
Role Description
As a Data Scientist, you will have the opportunity to:
- Gather relevant information to define the business problem
- Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda
Qualifications
- Currently enrolled in a bachelor's or accelerated master's program graduating between Winter 2024 - Spring 2025
- Experience or demonstrated coursework in data analysis
- Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
- Experience in data engineering, data analysis, data visualization, and/or data modeling
- Tooling experience with Power BI, Tableau, Microsoft Excel, and/or Splunk
- Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering
Mastercard is an 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. 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.
Corporate Security Responsibility
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.