Senior Data Scientist - Ethoca

Mastercard

Mastercard is a leader in facilitating secure, digital economies worldwide, leveraging technology and partnerships to benefit various stakeholders. Ethoca, an integral part of Mastercard, is focused on revolutionizing e-commerce security via cutting-edge data science. This role is pivotal in developing innovative models to enhance consumer trust and propel business growth.

In this role you can expect to have the responsibilities:

• Convert business challenges into scientific research problems and craft data-driven solutions.
• Spearhead data science initiatives across Mastercard/Ethoca teams.
• Engage in data extraction, analysis, and modeling to ensure high-quality solutions.
• Implement and manage machine learning models in production settings for scalability.
• Communicate findings to diverse stakeholders within the organization.
• Contribute to innovation through patent applications and research publications.
• Create proof-of-concepts and prototypes, assessing future technologies.
• Share knowledge at conferences and universities to promote data science.
• Collaborate with multidisciplinary teams to align AI-driven solutions with business goals.

This role comes with the following benefits:

• Inclusive work environment respecting diverse strengths and experiences.

This role requires you to have:

• Experience in full-cycle development and deployment of machine learning solutions.
• Understanding of machine learning, deep learning, and AI algorithms with practical deployment experience.
• Ability to analyze complicated data sets effectively.
• Experience in maintaining data governance and privacy standards.
• Proficiency in collaborating with diverse teams to align AI strategies.
• Strong problem-solving and scientific reasoning abilities.
• Proficient in Python, R, and frameworks like Scikit-learn and TensorFlow.
• Knowledge of SQL, SAP HANA, Hadoop, and Snowflake.
• Experience with Linux, Azure, and related tools.

You would benefit from having:

• Experience in Graph Analytics and Natural Language Processing.
• Master's degree in Computer Science or a quantitative field, with a PhD being a plus.

Mastercard embraces equal opportunity principles, welcoming applicants regardless of personal characteristics. They ensure information security compliance among all employees, requiring adherence to policies and mandatory security training.