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Data scientist/ data engineer

Tundra Technical - Community
Markham, OntarioOn-site2 days ago
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About this role

Job Title: Data scientist data engineer Location: Markham or Toronto, ON (Hybrid) Estimated Duration: 6 Months SUMMARY OF THE ROLE: Typical Day-to-Day Responsibilities • 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 • Experience with SAS, Informatica, Tableau, and other relevant data analytics tools. • AML knowledge
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