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.
Manager, Data Science
Interested in creating the methodologies and models that empower end-to-end marketing campaign management, including audience targeting, campaign execution, and measurement? Our platforms operate at global scale, processing over 175 billion transactions and enabling data-driven marketing solutions for financial institutions across markets worldwide. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time. We are looking for individuals who are passionate about data science solutions that will shape the future of digital marketing technology.
The Marketing Services Technology team is looking for Data Science Manager.
This position will manage an efficient team of globally distributed data scientists, as well as make an individual impact on Marketing Services data science goals.
As part of the Marketing Services team, the role involves:
- Partner with global, cross functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact.
- Propose and present creative solutions to existing challenges that are new to the company, the financial industry and to data science.
- Research and evaluate emerging AI, machine learning, and data science technologies to identify innovative opportunities and potential risks.
- Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models that deliver actionable insights for marketing.
- Apply various Machine learning (i.e. SVM, Random Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) and LLMs to solve analytical problem statements.
- Translate advanced analytics, model results, and experimental findings into clear, data driven insights for senior business and product stakeholders.
- Design and implement robust data pipelines, including ingestion, aggregation, and processing of large-scale, high dimensional datasets.
- Contribute to the development and adoption of frameworks, standards, best practices, and guardrails that ensure responsible, compliant, and resilient AI solutions.
- Identify areas where data science capacity falls short of needs and provide thoughtful and sustainable solutions to benefit the team
- Be a strong, confident, and excellent writer and speaker, able to communicate your vision and roadmap effectively to a wide variety of stakeholders
