DescriptionTransform business challenges into data-driven solutionsyour insights will fuel growth and competitive advantage.
As a Data Scientist Lead on the Commerce Payments product team youll beresponsible for identifying developing and executing data and analytics solutions for embedded payments including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product Technology Operations and Risk) to deliver actionable insights and support data-driven decision-making.
Job Responsibilities
- Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions.
- Lead the design development and implementation of advanced analytics solutions including dashboards predictive models and reporting tools.
- Communicate analytics findings and recommendations to quad partners and other stakeholders.
- Build strong relationships across Product Technology Design and Risk teams to ensure alignment and impact.
- Manage mentor and develop junior analytics team members fostering a collaborative and high-performance culture.
- Ensure data integrity and quality in all analytics deliverables.
- Partner with Technology and Data teams to maintain secure and compliant data practices.
- Stay current with analytics best practices tools and industry trends.
- Identify opportunities to enhance analytics processes and methodologies.
Required Qualifications Capabilities and Skills
- Bachelors or Masters degree in Data Science Analytics Statistics Computer Science or related field.
- 6 years of experience in analytics data science or business intelligence with at least 2 years in a people management or team lead role.
- Proficiency in analytics tools and technologies (e.g. SQL Python R Tableau Power BI).
- Experience supporting product teams
- Strong communication and stakeholder management skills.
- Demonstrated ability to lead and develop analytics team members.
This role is not eligible for visa sponsorship or relocation assistance
DescriptionTransform business challenges into data-driven solutionsyour insights will fuel growth and competitive advantage.As a Data Scientist Lead on the Commerce Payments product team youll beresponsible for identifying developing and executing data and analytics solutions for embedded payments i...
DescriptionTransform business challenges into data-driven solutionsyour insights will fuel growth and competitive advantage.
As a Data Scientist Lead on the Commerce Payments product team youll beresponsible for identifying developing and executing data and analytics solutions for embedded payments including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product Technology Operations and Risk) to deliver actionable insights and support data-driven decision-making.
Job Responsibilities
- Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions.
- Lead the design development and implementation of advanced analytics solutions including dashboards predictive models and reporting tools.
- Communicate analytics findings and recommendations to quad partners and other stakeholders.
- Build strong relationships across Product Technology Design and Risk teams to ensure alignment and impact.
- Manage mentor and develop junior analytics team members fostering a collaborative and high-performance culture.
- Ensure data integrity and quality in all analytics deliverables.
- Partner with Technology and Data teams to maintain secure and compliant data practices.
- Stay current with analytics best practices tools and industry trends.
- Identify opportunities to enhance analytics processes and methodologies.
Required Qualifications Capabilities and Skills
- Bachelors or Masters degree in Data Science Analytics Statistics Computer Science or related field.
- 6 years of experience in analytics data science or business intelligence with at least 2 years in a people management or team lead role.
- Proficiency in analytics tools and technologies (e.g. SQL Python R Tableau Power BI).
- Experience supporting product teams
- Strong communication and stakeholder management skills.
- Demonstrated ability to lead and develop analytics team members.
This role is not eligible for visa sponsorship or relocation assistance
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