Senior Data Scientist, Mastercard
$138-221k
More information about location
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
$138-221k
More information about location
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitized, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitized payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Michael has served in a variety of roles at the company, including President and CPO. They are currently a Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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