Senior Data Scientist - Ethoca Job Listing at Mastercard in Toronto, ON (Job ID R-241706)

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

Senior Data Scientist - Ethoca Who is Mastercard?

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team –one that makes better decisions, drives innovation, and delivers better business results.

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.

At Ethoca, we are shaping the future of secure e-commerce transactions by leveraging cutting-edge data science and machine learning. As a Senior Data Scientist, you will have a direct impact on chargeback prevention, playing a pivotal role in developing and deploying advanced models that drive consumer trust and business growth. Your deep expertise in Statistical Modeling, Machine Learning, Deep Learning, and AI Engineering will empower you to not only identify and resolve data quality challenges but also enhance the overall consumer experience. With strong coding skills in Python, SQL, and big data frameworks such as Spark and Hive, you will drive innovation through the effective deployment of machine learning solutions in cloud environments like AWS, Azure, or GCP.

We're looking for a pro-active problem-solver with excellent attention to detail, someone who can balance experimentation with operational efficiency while also communicating insights clearly to a variety of stakeholders. If you're eager to make a real-world impact through data science, this role is the perfect opportunity for you.

The Role:

• Translate business problems into scientific challenges and develop innovative data-driven solutions (AI, ML, DL, GenAI, etc.).
• Lead and execute data science projects across product and business teams within the Mastercard/Ethoca organization.
• Perform hands-on data extraction, analysis, cleaning, preparation, and modeling to ensure high-quality solutions.
• Deploy, document, and maintain machine learning models in production environments, ensuring scalability and efficiency.
• Present findings and technical insights to diverse audiences at all levels of the organization.
• Contribute to the protection and recognition of innovations through patenting technologies and publishing research at academic and industry conferences.
• Develop proof-of-concepts and prototypes, evaluating tools and technologies for future use.
• Share knowledge by presenting your work at conferences and universities, advancing the field of data science.
• Collaborate with cross-functional teams, including engineering, product, and business units, to align AI-driven solutions with business objectives.

All About You:
• Proven experience in end-to-end development and deployment of machine learning and deep learning solutions (from data exploration to model deployment).
• Strong understanding of machine learning, deep learning, and AI algorithms, with practical experience deploying scalable models in production environments.
• Ability to analyze complex data sets, uncover patterns, and develop innovative solutions to improve data quality and model performance.
• Experience ensuring data governance and privacy standards are upheld, with a focus on data security.
• Proven ability to collaborate with diverse teams, including engineering, product, and business stakeholders, to align AI strategies with organizational goals.
• A curious and critical mindset, with excellent problem-solving and scientific reasoning skills.
Proficiency in Python and R, along with experience using ML frameworks like Scikit-learn and Deep Learning frameworks (e.g., TensorFlow, PyTorch).
• Strong knowledge of SQL, SAP HANA, Hadoop, and Snowflake.
• Experience with Linux, Azure, Azure Machine Learning, and Databricks.

Nice to Have:

• Experience with Graph Analytics, Fuzzy Matching, Natural Language Processing (NLP), and Text Analytics.
• Master's degree in Computer Science or a quantitative field (PhD is a plus). 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 reasonable_accommodation@mastercard.com 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.

 Apply on company website