Data Scientist III
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Key skills for this role
About the Role
TD's Wealth AI2 team is looking for a Data Scientist III to lead end-to-end analytics and data science initiatives, generating insights for business stakeholders. The role requires 5+ years of experience, strong PySpark and SQL skills, and expertise in statistical methods and machine learning.
Key Skills for This Role
Responsibilities
- Lead end to end delivery of analytics and data science initiatives from problem framing through execution
- Analyze complex business problems and large data sets to identify use cases, value drivers, and opportunities for growth
- Translate business needs into analytics, reporting, and data science solutions in partnership with stakeholders
- Develop and present clear, executive ready insights, recommendations, and visualizations
- Establish and improve analytics frameworks, standards, and best practices while ensuring data quality and governance
- Leverage statistical methods, machine learning techniques, Gen AI/Agentic AI, and test and learn techniques to design and scale data driven solutions
- Act as a domain subject matter expert and trusted analytics advisor, providing thought leadership and mentorship
Requirements
- Undergraduate degree in a quantitative, technical, or business related discipline (e.g., Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, Finance)
- 5+ years of relevant experience
- Strong hands on expertise in PySpark and SQL
- Experience designing and building Power BI dashboards, reports, and visualizations
- Ability to translate business requirements into technical requirements
- Strong PowerPoint and presentation delivery skills
Full Job Posting
Role Overview
- TD's Wealth AI2 team is looking for top analytics talent to tackle data analysis challenges. This role is responsible for analyzing curated and aggregated data marts to generate insights that address business challenges and identify opportunities for business growth and value creation.
Accountabilities
- Lead end to end delivery of analytics and data science initiatives, from problem framing through execution, to produce timely, accurate, and business ready insights.
- Analyze complex business problems and large data sets to identify use cases, value drivers, and opportunities for growth, efficiency, and optimization.
- Translate business needs into analytics, reporting, and data science solutions in partnership with stakeholders, analytics teams, and the AI/ML pod.
- Develop and present clear, executive ready insights, recommendations, and visualizations to support stakeholder alignment and decision making.
- Establish and improve analytics frameworks, standards, and best practices while ensuring data quality, governance, and compliance.
- Leverage statistical methods, machine learning techniques, Gen AI/Agentic AI, and test and learn techniques to design, evaluate, and scale data driven solutions.
- Act as a domain subject matter expert and trusted analytics advisor, providing thought leadership, guidance, and mentorship to partners and team members.
Required Qualifications
- Undergraduate degree in a quantitative, technical, or business related discipline such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, Finance, or a related field.
- Advanced degree in Data Science, Analytics, Statistics, Computer Science, Engineering, Finance, or a related discipline is considered an asset.
- 5+ years of relevant experience.
- Banking/Finance domain knowledge is considered an asset.
- Strong hands on expertise in PySpark and SQL to manipulate large data sets, develop analytical data assets, and support scalable analytics and insights generation.
- Experience designing and building Power BI dashboards, reports, and visualizations that translate complex data into clear, actionable business insights.
- Ability to understand, reframe, and assess business problems, translate business requirements into technical requirements, and evaluate feasibility of business asks.
- Demonstrated ability to manage first level stakeholder relationships, align expectations, prioritize work, and remain self organized and self sufficient in a fast paced environment.
- Ability to support POD AEL backup responsibilities as needed; Wealth Advice domain knowledge is considered an asset but is not required.
- Strong PowerPoint and presentation delivery skills, with the ability to create executive ready materials and communicate findings clearly to business stakeholders.
Who We Are
- TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
- More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
Total Rewards
- Base salary, variable compensation, health and well being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.
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