Lead Data Scientist

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Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

Overview:

Ethoca, a Mastercard Company is seeking a Lead Data Scientist to join our team in Toronto and will be responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.

Role:

• Transform business challenges into scientific research problems
• Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, etc.)
• Build and execute various data science projects for product and business use cases across the Ethoca organization (both product and technology).
• Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
• Deploy, document, maintain and monitor the developed solutions
• Presenting data science results to a variety of audience
• Protect the developed algorithms and solutions by patenting the technology and consider publishing at academic and industrial research conference.
• Build prototypes and proof-of-concepts and conduct tool evaluations.
• Knowledge dissemination by presenting work externally at conferences and Universities.
• Collaborate with internal teams and across other Mastercard teams

All about You :
• Proven experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment). Ph.D. from relevant areas.
• Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it.
• Strong scientific communication skills.
• Handling data responsibly by maintaining data governance, privacy, and ring-fencing standards
• Curious, Critical thinker, good hacking skills and scientific reasoning.
• Not afraid to ask questions and propose new ideas
• Master's in computer science or quantitative field

Good to have. Experience working with:

• Python, R Programming
• ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)
• SQL, SAP HANA, Hadoop, Snowflake databases
• Linux, Azure environment, Azure Machine Learning, and Databricks
• In addition to the above, identify new challenges that can be solved using the data.
• Generate new innovative ideas that can potentially add value to the organization.

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.