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
Lead Data Scientist
Overview
Are you an experienced data scientist with a passion for technological innovation, a can‑do attitude and a strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you 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 Lead Data Scientist to own the development of machine learning models and business intelligence projects. You will work closely with cross‑functional teams, including data engineers, data analysts, and software engineers, to drive data‑driven decision making throughout the organization.
Key Responsibilities
Leads complex data modeling initiatives and projects to derive insights from extracted data to solve critical business questions
Translates client/stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presents findings and outcomes to clients/stakeholders
Identifies rich data sources and monitors the melding and cleaning of datasets to ensure consistency
Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post‑implementation reviews
Guides others to develop sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes) utilizing complex statistical and data science techniques and methods
Delegates and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed
Serves as a technical coach for junior‑level colleagues and develops technical talent via ongoing technical training, peer review, etc.
All About You
Extensive expertise in Python or other relevant programming languages
Strong background in statistical methods, machine learning algorithms, and predictive modelling
Skilled in using visualization tools like Tableau, Power BI, or similar to represent complex data
Proficiency in using big data technologies like Hadoop, Spark, or similar frameworks
Excellent in communicating complex data insights in a clear and effective manner
Proven ability to manage and deliver data‑centric projects successfully
Eagerness to stay abreast with the latest advancements in data science and technology
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data processing and storage
Knowledge of data security, privacy standards, and compliance regulations
Working experience in Agile teams, demonstrating skills in adapting to changing requirements, fostering team collaboration, and driving efficient, iterative development processes
Ability to work effectively in a team and with stakeholders from various backgrounds
What makes you stand out
Proven expertise in deploying machine learning models to cloud‑based production environments, showcasing advanced skills in cloud technologies and the ability to scale models efficiently
Experience with the innovative application of Generative AI in commercial settings, demonstrating the ability to leverage cutting‑edge technology for practical business solutions
Background in the financial industry, providing a deep understanding of the sector's unique data challenges and how to address them effectively
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
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
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines
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