Lead Data Scientist (Graph Analytics)
Toronto, ONMastercard
Candidates need a Master's or Bachelor's degree in a quantitative field, proven experience leading data science projects, and substantial hands-on graph analytics skills. They also need advanced Python and SQL, experience with Spark, Hadoop and Databricks, and strong statistical and machine learning knowledge.
Python, SQL, Apache Spark, Hadoop, Databricks
Manager, Product Development - Identity Solutions
Toronto, ONMastercard
Candidates need experience managing technical products such as APIs, data platforms or machine learning solutions. Strong communication, influencing skills and analytical problem-solving are needed. Knowledge of digital identity, payments, fraud or security is an advantage.
Product comprehension, Process improvement, Machine learning, Problem solving, Communication skills, Cybersecurity
Director, Data Engineering
Toronto, ONMastercard
Candidates need strong data engineering experience, proficiency in graph databases, Databricks, Spark and AWS, and proven ability to lead and develop a data engineering team. A technical degree or equivalent hands-on skills and clear communication with technical and business audiences are also required.
Databricks, Spark, AWS, Hive, Impala, Oozie
Director, Product Operations - Disputes Modernization & Customer Migration (Multiple Openings)
Toronto, ONMastercard
Mastercard needs candidates with a bachelor's degree and experience leading large customer migrations or platform transformations. Candidates should bring product operations or program management experience, comfort with APIs and SaaS products, and skill influencing matrixed teams. Payments, disputes or fraud experience is preferred.
Onboarding, Change management, Client relationship management, Sales, Communication skills, Customer experience