Data Scientist II designing and deploying analytics solutions across cloud platforms for TD. Collaborating with business stakeholders to transform large - scale data into actionable insights.
About the role
- Data Scientist role in Platform mission requiring skills in data frameworks and visualization tools. Collaborating with cross-functional teams in Toronto under a hybrid model.
Responsibilities
- Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
- Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
- Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
- Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
- Apply statistical and causal inference methods to evaluate product changes for internal and external users.
- Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
- Grow into a strategic analytical partner by taking on increasingly complex data challenges.
Requirements
- You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
- You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
- You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
- You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
- You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
- You have experience collaborating with engineers, product managers, and cross-functional partners.
- You are curious, adaptable, and excited to grow your craft over time.
Benefits
- flexibility to work where you work best!
- in-person meetings allowed but still flexible to work from home
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Principal Data Scientist leading AI innovation for network management at Extreme. Driving long - term data science and ML strategy in a greenfield opportunity.
Senior Data Scientist specializing in deep learning for computer vision at Zesty.ai. Collaborating on PropertyTech and InsurTech solutions using data science and machine learning.
Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.
Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.
Senior Data Scientist leveraging data analytics to drive business value at Sun Life. Collaborating with teams to develop ML products and enhance data - driven decision - making.
Program Manager overseeing master data initiatives at Stanley Black & Decker. Responsible for project execution and stakeholder collaboration to enhance data management processes.
Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.