Senior Data Scientist

Mastercard

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$138,000–$221,000 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $180k
$90k most similar roles pay here $235k

This role pays more than 70% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $180k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior Data Scientist

As a Senior Data Scientist, you will join the team to design, develop, and deploy machine learning models that power ad targeting, ranking, and bidding optimization in real-time or near-real-time environments. You will build and scale personalization and recommendation systems using large transaction and behavioral datasets while implementing incrementality testing frameworks, causal inference methodologies, and multi-touch attribution models. The role involves optimizing models for accuracy and latency within the commerce media and AdTech space. You will utilize Python, Apache Spark, and cloud platforms like AWS, Azure, or GCP to manage model lifecycles in production. Key technical requirements include expertise in RTB optimization, budget pacing, bid shading, and advanced measurement frameworks. You will solve complex problems regarding identity resolution, privacy-preserving techniques, and automated decisioning within the digital advertising ecosystem.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • 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.
  • Implement incrementality testing frameworks using lift measurement and causal inference methodologies.
  • Build and enhance multi-touch and probabilistic attribution models across various channels and devices.
  • Optimize machine learning models for accuracy, performance, latency, and scalability in production environments.
  • Drive experimentation strategies including A/B testing and advanced measurement frameworks.
  • Translate business objectives into scalable data science solutions in collaboration with product and engineering teams.

What we're looking for

  • Experience in Data Science, Machine Learning, Marketing Science, or a related field is required.
  • AdTech experience is preferred.
  • 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.
  • Proficiency in Python and related data science libraries for data manipulation, feature engineering, and model development.
  • Experience with large-scale distributed data processing frameworks like Apache Spark and cloud platforms such as AWS, Azure, or GCP.
  • Demonstrated success deploying machine learning models into production environments including batch/real-time pipelines and MLOps tools.

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