Senior Data Scientist F/T

Our Purpose

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.

Title and Summary

Senior Data Scientist F/T

Overview
Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering and segmentation) to draw insights from large data sets.
Role.
• Communicates with client counterparts to ensure customer needs are being addressed when designing data analysis and technical solutions.
• Reviews and applies complex analytical techniques or tools to draw meaningful and insightful observations and trends from large/ complex data sets.
• Develops sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques and methods.
• Meets project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress, escalating issues when necessary.
• Conducts Proof-of-Value exercises with customers and contributes toward the research and development of new machine learning-powered solutions.
• Works closely with Engineering to ensure our models are delivered into Production according to our specifications.
• Takes a Product lens to work—thinking about the customers’ value as the primary goal of everything we do.

About You
• Position requires a Bachelor’s degree or foreign equivalent in Data Science, Statistics, Mathematics, Analytics, Information Technology, or related and three (3) years of progressively responsible experience in job offered or as a Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, or related.
• Qualifying experience must include at least 3 years with each of the following: Unix CLI, Python, SQL, Machine learning experimentation orchestration frameworks (such as MLflow), Big data processing tools and systems (such as Hadoop, Spark, Databricks, Snowflake, etc.), Experience with building models related to fraud, scams, or money laundering detection, Payments ecosystem.
• Telecommuting and/or working from home may be permissible pursuant to company policies.
• To apply, please click the “Apply for job” link above, or send resume to recruiter Fitzroy Thomas, Fitzroy.Thomas@mastercard.com, @ Mastercard International Incorporated, 1 Lincoln Street, Boston, MA 02111. Ref MC78-2026.
Incentives offered through MasterCard’s Employee Referral Program Apply to this position. For more information, please visit our Employee Referral Site or see employee handbook.

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.

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.

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.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/03/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.



Pay Ranges

Atlanta, Georgia: $115,000 - $184,000 USD