Role- SAS Data Scientist (AML) Location- Toronto ON/Markham, ON (3 Days/Week) Contract

Need 12+ Yrs of Experience

Summary Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to AML transaction monitoring systems. Work independently to provide analysis, design and support of technical data management solutions on various projects ranging in complexity and size Conduct data quality checks on raw or curated data on Oracle and Azure platforms Conduct activities related to customer segmentation, scenario Initial threshold setting and model performance monitoring Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities. Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.

MUST-HAVE Hard Skills: Expert-level proficiency in Python and SQL. Advanced knowledge of query optimization, debugging, and automation. Strong data exploration and analysis skills, with experience working with large-scale datasets. Ability to apply statistical techniques and data mining tools to solve business problems. Strong knowledge of and experience with data-driven or data-centric projects.

SOFT SKILLS: Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly. Proven ability to work effectively within large, collaborative teams and contribute as a strong team player. Excellent multi-tasking skills: ability to adapt to and manage changing priorities. NICE-TO-HAVE 1.) Experience with SAS, Informatica, Tableau, and other relevant data analytics tools. 2.) AML knowledge