Senior Data Scientist

Mastercard; New York (NY); On-site; USD 138,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid time off

Parental leave

Job summary

Mastercard is seeking a Senior Data Scientist to design, develop, and deploy ML models powering ad targeting, ranking, and bidding optimization in real time. You will scale personalization and recommendations using vast transaction data and drive incrementality and attribution frameworks across channels.

You will partner with product, engineering, analytics, and business teams to deliver scalable data-driven solutions while improving accuracy, latency, and production readiness of AdTech

Qualifications

• Experience in Data Science, ML, AdTech or Marketing Science.
• Proven track record building ad bidding systems including RTB.
• Hands-on with personalization and recommendation at scale.
• Strong stats, experimentation, causal inference and attribution modeling.
• Proficient Python and data manipulation, feature engineering, model dev.
• Experience with cloud platforms (AWS, Azure, GCP) and ML infrastructure.

Responsibilities

• Design, build, and deploy ML models for ad targeting and bidding optimization.
• Scale personalization and recommendation systems on large datasets.
• Lead incrementality testing frameworks and lift measurement.
• Develop attribution models across channels and devices.
• Collaborate with product, engineering, analytics, and business teams.
• Optimize models for accuracy, latency, and production scalability.
• Contribute to architecture and evolution of AdTech products.
• Drive experimentation strategies including A/B testing.

Skills

Python

Machine learning

AdTech

Spark

SQL

A/B testing

RTB optimization

cloud platforms

Tools

Apache Spark

Job description

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

Overview

We are seeking a Senior Data Scientist to design, develop, and deploy machine learning models that power Ad targeting, ranking, and bidding optimization in real-time or near real-time environments. This role will be instrumental in advancing Mastercard’s commerce media and AdTech capabilities through data-driven personalization, measurement, and optimization solutions.

About the Role

• Design, build, and deploy machine learning models for ad targeting, ranking, and bidding optimization.
• Develop and scale personalization and recommendation systems using large-scale transaction and behavioral datasets.
• Lead the design and implementation of incrementality testing frameworks, including lift measurement and causal inference methodologies, to evaluate campaign effectiveness.
• Build and enhance attribution models, including multi-touch and probabilistic attribution approaches across channels and devices.
• Partner closely with product, engineering, analytics, and business teams to translate business objectives into scalable data science solutions.
• Optimize machine learning models for accuracy, performance, latency, and scalability in production environments.
• Contribute to the architecture, design, and evolution of Mastercard’s AdTech and commerce media products.
• Drive experimentation strategies, including A/B testing and advanced measurement frameworks.
• Stay current with emerging trends and technologies across the AdTech ecosystem, including DSPs, SSPs, RTB protocols, identity resolution, privacy-preserving techniques, and digital advertising measurement.

All About You

• Experience in Data Science, Machine Learning, AdTech (Preferred), Marketing Science, or a related field is required for this position.
• Proven experience building and optimizing ad bidding systems, including RTB optimization, budget pacing, bid shading, and auction-based decisioning.
• Hands-on expertise developing personalization, recommendation, and targeting systems at scale.
• Strong background in incrementality measurement, experimentation, A/B testing, causal inference, and advanced attribution modeling.
• Deep understanding of the digital advertising ecosystem, including DSPs, SSPs, ad exchanges, identity solutions, targeting strategies, and measurement methodologies.
• Proficiency in Python and related data science libraries, with strong experience in data manipulation, feature engineering, and model development.
• Experience working with large-scale distributed data processing frameworks such as Apache Spark.
• Demonstrated success deploying machine learning models into production environments, including batch and real-time pipelines, APIs, monitoring, and model lifecycle management.
• Strong foundation in statistics, machine learning algorithms, optimization techniques, and predictive modeling.
• Experience leveraging cloud platforms such as AWS, Azure, or GCP, along with modern ML infrastructure and MLOps tools.
• Excellent communication and stakeholder management skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
• Ability to thrive in a fast-paced, highly collaborative environment and influence technical and business

This position is currently only available to local candidates in the San Francisco area. Relocation is not currently available for this position.

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 [e-mail] 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.

Benefits for Full Time Employees

• 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

Benefits for Interns

• 56 hours of Paid Sick and Safe Time
• jury duty leave
• on-site fitness facilities in some locations

Pay Ranges

San Francisco, California: $138,000 - $221,000 USD

New York City, New York: $138,000 - $221,000 USD