Mid-Level Data Scientist
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-07-06
Listing for:
Mastercard
Full Time
position Listed on 2026-07-06
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Join Mastercard as a Data Scientist II. Utilize your expertise in AI and ML to enhance risk assessment capabilities, ensuring secure digital transactions.
As part of the Security Solutions Data Science team, you’ll play a crucial role in the development of models designed for large-scale data solutions. This position involves research and innovation in building a merchant registry and creating advanced profiling systems that enable dynamic risk evaluation and management.
Key Responsibilities:
• Analyze extensive transaction and merchant data
• Support the merchant registry's development for risk evaluations
• Contribute to the improvement of analytical workflows
• Prototype data science solutions and validate methodologies
• Build scalable workflows in Databricks and Spark environments
Requirements:
• Bachelor's in Data Science, Statistics, or Math
• Experience applying data science to real-world problems
• Proficient in Python and SQL, familiarity with Pandas
• Exposure to Spark and experience with large datasets
• Strong critical thinking and collaborative skills
Foster innovation in risk solutions while collaborating with talented teams at Mastercard.
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