Manager, Data Science

Mastercard Inc.; Lisboa; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mastercard Inc. in Lisbon seeks a Data Science Manager to lead a globally distributed team of data scientists and to influence marketing technology with advanced analytics, AI and machine learning.

The role focuses on end-to-end campaign management, audience targeting, execution and measurement at scale. You will translate model results into clear business insights, design robust data pipelines, and champion responsible AI practices while partnering with stakeholders across markets and product

Qualifications

• Experience researching and adopting new technologies, especially in GenAI and agentic space.
• Experience in developing, validating, monitoring, and improving predictive models and algorithms aligned with business objectives.
• Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
• Experience mentoring and coaching other data scientists.

Responsibilities

• 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 machine learning models that deliver actionable insights for marketing.
• Translate advanced analytics, model results, and experimental findings into clear, data driven insights for senior stakeholders.
• Design and implement robust data pipelines for large-scale datasets.
• Contribute to frameworks, standards, best practices, and guardrails for responsible AI.

Skills

Python

Spark

SQL

Hadoop

GenAI

LLMs

Power BI

Communication

Mentoring

Education

Master's degree in a relevant field

Tools

Tableau

Power BI

TensorFlow

Airflow

Hive/Impala

Pandas

Job description

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.

Title and Summary 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.

The Role

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

All About You

Education & Experience

• Experience in researching and adopting new technologies, especially in the GenAI and agentic space
• Experience in driving the development, validation, monitoring, and continuous improvement of predictive models, statistical techniques, and algorithms aligned with business objectives.
• Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
• Experience in mentoring and coaching other data scientists
• Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field—or equivalent work experience.

Technical Skills

• Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
• Familiarity with machine learning frameworks, libraries, data structures, and software architecture.
• Familiarity with relevant technologies (e.g. GenAI, LLMs, Agentic AI, TensorFlow, Sklearn, Pandas, etc.).
• Experience with BI platforms like Tableau or Power BI is a plus.

Analytical & Communication Skills

• Strong analytical skills with a proven ability to translate data into compelling insights.
• Experience interacting with stakeholders to understand technical needs and deliver effective solutions.
• Ability to articulate the business value of products and contribute to marketing tool set

Corporate Security Responsibility

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.