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Senior Data Scientist, Banking Data

Data Scientist Full-time Permanent Canada

Job details

$151.2K • Offers Equity Salary
Canada Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Own data science strategy for money movement and payments within a consumer and business banking product area. The role combines product experimentation, statistical analysis, machine learning, and data engineering, partnering closely with product, engineering, and design teams to shape decisions and build customer-facing capabilities.

Responsibilities

- Design and analyze A/B tests to guide pricing, assess launches, and inform product roadmap choices. - Define measurement plans for new products, including metrics, geographic experiments, and incrementality analysis. - Build customer-facing machine learning or AI features and the data pipelines and modeled datasets that support them. - Apply causal inference and advanced statistical methods to understand customer behavior and recommend product actions. - Collaborate with cross-functional partners and communicate findings in ways that support strategic decisions. - Use AI tools to streamline operational work and improve analytical workflows.

Requirements

- Experience applying data science to customer-facing products with experimentation and product analytics. - Strong skills in experimental design, causal inference, applied statistics, and product measurement. - Proficiency in Python and SQL, including building production-quality data pipelines. - Experience influencing important product decisions, such as pricing or roadmap priorities, with evidence. - Ability to work directly with cross-functional partners and communicate technical findings to nontechnical audiences. - Comfort managing complexity and shifting priorities, with sound judgment about when simple or sophisticated methods are appropriate.

Nice to have

- Experience in fintech or banking products. - Familiarity with machine learning and AI product development.

Benefits and work setup

The role is remote-first and open to candidates anywhere in Canada. Listed benefits include health and life insurance, employer-matched group savings, paid vacation and wellness days, and a program allowing some work outside Canada for up to 90 days annually; eligibility may vary by role.

Skills detected in the listing

PythonSQLStakeholder ManagementMachine Learning
Detected Nov 14, 2026
Last verified Nov 14, 2026

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