Data Scientist II
Description
This role involves exploring, understanding, and analyzing data to build well-structured data layers and develop analytical solutions that provide clear, actionable insights for business stakeholders. The Data Scientist II will be responsible for translating business requirements into technical developments, automating data processes, and serving as an expert in data and metrics. Responsibilities may include developing and maintaining statistical and machine learning models for purposes like fraud detection or supporting wealth management strategies, collaborating with various business and technology partners, and communicating data-driven insights to influence strategic decision-making. The aim is to identify operational efficiencies and contribute to a data-driven organizational transformation.
What We're Looking For
Use Python, PySpark, and SQL for coding, automation, and building scalable and reusable data processes.,Design and build star-schema semantic models to support Business Intelligence (BI) and Artificial Intelligence (AI) needs.,Partner with Operations business partners, product owners, business management specialists, and technology partners.,Understand business requirements and translate them into technical development for data layers and metrics.,Develop and maintain statistical and machine learning models, potentially for fraud detection.,Collaborate with Model Risk Management and other control partners to ensure model effectiveness and stability.,Explore new data features to enrich fraud detection and identify model upgrade opportunities.,Develop and support ongoing model monitoring for existing model inventory.,Develop, validate, and apply foundational data assets to drive relationship banking models.,Communicate data-driven insights to influence Wealth and Enterprise strategies.
Ideal Candidate
Undergraduate degree or advanced technical degree (e.g., math, physics, engineering, finance, or computer science); graduate's degree preferred.,3+ years of relevant experience, with higher degree education and research tenure potentially counted towards experience.,Proficiency in SQL.,Experience navigating large datasets and extrapolating technical/complex issues.,Hands-on experience in developing SQL relational tables, OLAP cubes, and data marts.,Ability to manage and optimize database and data warehouse systems.,Broad knowledge and experience in descriptive, diagnostic, predictive, and prescriptive analytical approaches.,Experience with a range of tools including SQL, Python, PySpark, and the Azure Databricks environment.
Minimum Education
Undergraduate Degree (minimum), Graduate's Degree (preferred)
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
About the Company
The Toronto-Dominion Bank
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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