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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Mastercard - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $138,000.0 - $221,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cyber Security, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Machine Learning, Recommender Systems, Data Processing, Feature Engineering, Apache Spark, Optimization Algorithms, Machine Learning Operations - **Published:** July 2, 2026 - **Apply:** https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/San-Francisco-California/Senior-Data-Scientist_R-280550-1 ## About the Role * 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 ## Description * 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 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)