Data Scientist II

Develop, validate, and apply foundational data assets for OneTD and relationship banking models (e.g., High Net Worth, Segment Strategy, Journeys).,Collaborate cross-functionally across AI2 teams, DaaS, Business, and Finance stakeholders.,Communicate data-driven insights to influence Wealth and Enterprise strategies.,Be capable of operating in uncertain or complex environments and adaptable to change.,Able to break down and translate business problems into tractable analytical deliverables.,Strong business acumen, curious about business operations within a OneTD framework, and able to leverage this understanding to frame analyses and recommendations.,Detail-oriented with strong data and code validation practices, systematic assurance of data integrity, and reviewing/debugging data pipelines; adherence to coding and QA/QC best practices.,Experience with creating production-ready data pipelines, including building ongoing checks, automation, and scheduling.,Broad knowledge and experience in descriptive, diagnostic, predictive, and prescriptive analytical approaches.,Ability to synthesize, distill, and communicate findings and insights from data analyses to key partners.,Recommendations should be considered, impactful, and add value to the organization.,Committed to collectively delivering the best analytical product by understanding business needs, collaborating effectively, and iterating.,Self-motivated and accountable to self and peers.,Enjoys working with technical and non-technical teammates.

Experience with a range of tools including SQL, Python, PySpark, and the Azure Databricks environment.,Understand how data are generated across the organization and can consolidate disparate views.,Broad knowledge of and experience in descriptive, diagnostic, predictive, and prescriptive analytical approaches.