About the Role
This role leads a data science team focused on generating insights and building models to support product decisions and improve outcomes for business customers.
Responsibilities
- Lead and mentor a team of data scientists in delivering high-impact projects
- Collaborate with product and engineering teams to identify key business questions
- Develop and implement machine learning models to solve complex problems
- Translate business needs into analytical frameworks and data requirements
- Drive the adoption of data-driven decision-making across teams
- Oversee the design and execution of experiments and A/B tests
- Ensure analytical work aligns with strategic business goals
- Champion best practices in data science methodology and model governance
- Work closely with stakeholders to communicate findings and recommendations
- Manage project timelines and deliverables to meet business objectives
- Promote a culture of innovation, learning, and technical excellence
- Evaluate new data sources and tools to enhance analytical capabilities
- Support the development of scalable data products and dashboards
- Ensure data quality and integrity across analytical workflows
- Lead efforts to measure and improve customer outcomes
Compensation
Competitive salary with benefits
Work Arrangement
Hybrid
Team
Part of the Business Banking division
About the Team
This team focuses on leveraging data to improve products and services for business customers, working closely with cross-functional partners to drive innovation and measurable impact.
What We Value
We prioritize clear communication, technical rigor, customer-centric thinking, and a collaborative mindset in our data science practice.
Available for eligible candidates
