Senior Data Scientist

Mastercard
San Francisco
Workplace: OnsiteFull timeUSD 138,000 - 221,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Stakeholder management","Collaboration","Problem-solving"]

Design, build, and deploy machine learning models that improve ad targeting, ranking, and bidding optimization for Mastercard’s commerce media and AdTech. Develop large-scale personalization, recommendation, and attribution systems, and lead incrementality measurement using lift and causal inference. Partner with product, engineering, analytics, and business teams to translate objectives into production-ready data science solutions, optimizing for accuracy, latency, scalability, and experimentation outcomes.

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FursaFursa
Mastercard
Mastercard
2 months ago

Senior Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Design, build, and deploy machine learning models that improve ad targeting, ranking, and bidding optimization for Mastercard’s commerce media and AdTech. Develop large-scale personalization, recommendation, and attribution systems, and lead incrementality measurement using lift and causal inference. Partner with product, engineering, analytics, and business teams to translate objectives into production-ready data science solutions, optimizing for accuracy, latency, scalability, and experimentation outcomes.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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 incrementality testing frameworks, including lift measurement and causal inference to evaluate campaign effectiveness.
  • •Build and enhance attribution models, including multi-touch and probabilistic attribution across channels and devices.
  • •Optimize models for accuracy, performance, latency, and scalability, and contribute to the evolution of AdTech/commerce media products.

Pay and Benefits

Salary: USD 138,000 - 221,000 annually
Perks:Health InsuranceDentalVision401kPaid LeavePaid Sick

Key Requirements

  • •Experience in Data Science, Machine Learning, AdTech, Marketing Science, or a related field.
  • •Proven experience building and optimizing ad bidding systems, including RTB optimization, budget pacing, bid shading, and auction 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.
  • •Proficiency in Python for data manipulation, feature engineering, and model development, including work with distributed processing frameworks like Apache Spark.
Experience:AdTechDigital advertising
Skills:CommunicationStakeholder managementCollaborationProblem-solving
Tech Stack:PythonApache SparkAWSAzureGCPAPIsMLOps

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor