Senior Data Scientist

3 weeks ago

Dublin, Dublin City, Ireland Mastercard, Inc. Full time
Overview

Are you an experienced data scientist with a passion for technological innovation, a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the opportunity to assist in the design and development of a world-class unified platform enabling Small and Medium Enterprises globally.

The SME team is looking for a Senior Data Scientist to own the development of machine learning models and business intelligence projects. You will also work closely with cross-functional teams, including data engineers, data analysts, and software engineers, to drive data-driven decision making throughout the organization.

Role

Analyze various data sources to deliver data-driven and actionable insights for small and medium-sized enterprises in the Mastercard network. Develop sophisticated multivariate models and analytic solutions (dashboards, machine learning models), utilizing complex statistical and data science techniques and methods. Self-starter who can work independently with ambiguous requirements and proactively identify insights opportunities from the data. Communicate with cross-functional teams and business partners to help drive their ability to leverage insights from data.

All about you

Demonstrated ability to combine, interrogate, and manipulate large data sets using big data tools (Hadoop, Spark, etc.). Extensive experience using common programming languages (Python preferred) and different statistics and machine learning libraries (Pandas, scikit-learn, PySpark, etc.). Understand the trade-off between different machine learning model validation metrics (AUC, recall, etc.) to achieve the most optimal model performance based on the business needs. Knowledge of version control systems (Git, etc.). Ability to directly communicate with business partners to translate statistical findings into business insights. Experience with BI visualization tools (Tableau, Domo, Power BI, etc.) is highly preferred. Experience with optimizing big data ETL pipelines is preferred. Good to have experience in software engineering.

What makes you stand out

Experience deploying machine learning models to cloud-based production environments. Experience with Databricks. Experience with the innovative application of Generative AI in commercial settings. Background in the financial industry. Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices, ensuring the development of robust and reliable software solutions.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks have 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.

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