Data Scientist-Vice President
This VP-level Data Scientist at JPMorgan Chase will lead cross-functional analytics initiatives for embedded payments, focusing on digital wallets and card-on-file solutions. The role demands deep collaboration with product, tech, and risk teams to deliver scalable, high-impact predictive models and actionable insights for ecommerce growth.
Skills required
About this role
Transform business challenges into data-driven solutions—your insights will fuel growth and competitive advantage.
As a Data Scientist on the Commerce Payments product team, you’ll be responsible 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
- Bachelor’s or Master’s 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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