Data Scientist II (Customer Relationship & Deepening)

TD•Toronto, ON

3d•CA$81,600 - CA$115,200•Onsite

About The Position

The Data Scientist II, Customer Relationship & Deepening will design, build, and deliver analytics solutions that support customer strategy, engagement, and deepening initiatives across CPB. This role sits within a high-impact pod focused on driving customer growth through deep-dive analysis of customer behavior, engagement, and lifecycle trends to inform strategic decision-making. This role leverages strong technical expertise, analytical thinking, and business partnership to translate complex customer data into actionable insights, data assets, and scalable analytics solutions that drive measurable growth and customer value.

Requirements

3+ years of experience in data science, analytics, or a related field
Proven experience working with large, complex datasets and delivering business impact
Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn) and SQL
Experience with data visualization tools (Power BI, Tableau)
Familiarity with cloud-based data platforms (e.g., Azure)
Strong problem-solving and critical thinking abilities
Ability to translate data insights into clear business recommendations
Strong communication skills with the ability to present findings to non-technical stakeholders
Proven ability to partner effectively with cross-functional stakeholders
Strong time management and ability to work in a fast-paced, dynamic environment
Demonstrated ability to manage shifting priorities and deliver high-quality outputs under tight timelines

Nice To Haves

Experience working with CPB data, customer segmentation, or digital/customer engagement analytics
Exposure to machine learning techniques (e.g., clustering, propensity modeling, predictive analytics)
Experience supporting customer strategy, lifecycle analysis, or campaign optimization
Familiarity with experimentation frameworks (A/B testing) and measurement methodologies

Responsibilities

Analyze customer interaction, transaction, and engagement data to uncover trends, behaviors, and opportunities that inform customer deepening strategies.
Leverage SQL, Python, and cloud-based platforms to develop scalable data assets, models, and analytical solutions.
Collaborate with Customer Relationship, Segment Strategy, and Engagement teams to translate business questions into data-driven insights and recommendations.
Develop dashboards and reporting solutions (e.g., Power BI/Tableau) to track performance, customer behaviors, and strategic outcomes.
Lead full lifecycle analytics delivery including data exploration, requirements gathering, stakeholder alignment, and presenting insights in business-friendly language.