DescriptionWe have an exciting opportunity for you to lead analytics and AI initiatives drive career growth and shape the future of Card Data & Analytics
As a Lead Data Scientist in Card Data & Analytics Competitive Intelligence and AI you will partner with stakeholders to deliver impactful analytics manage and develop teams and provide strategic insights to support growth and innovation across the Card business
Job responsibilities
- Establish partnerships with Card stakeholders to align and deliver the analytics roadmap for Competitive Intelligence and Gen AI initiatives
- Apply advanced analytical techniques to answer high-priority business questions across the Card business
- Lead teams of data scientists and analytics professionals overseeing development and execution of analytics initiatives
- Serve as a trusted advisor by recommending analytics best practices and methods to identify impactful opportunities
- Identify and articulate market insights and competitor trends using multiple external data sets
- Guide project teams in aggregating competitive intelligence data and synthesizing findings for stakeholders
- Manage develop and retain talent while fostering an inclusive team environment
Required qualifications capabilities and skills
- Bachelors and Masters degree in a quantitative discipline such as Data Science Mathematics Statistics Physics Engineering Economics or Finance
- Five years applied experience in analytics and leading teams of analysts
- Five years experience with SQL and at least one analytical tool: Python R or SAS
- Experience with visualization techniques for data analysis and presentation
- Superior problem-solving written oral communication and presentation skills with experience communicating effectively with all levels of management and partners
Preferred qualifications capabilities and skills
- Experience in financial services digital or customer experience analytics
- Hands-on experience with Python SQL and Tableau
- Familiarity with AI and market intelligence
Required Experience:
Manager
DescriptionWe have an exciting opportunity for you to lead analytics and AI initiatives drive career growth and shape the future of Card Data & AnalyticsAs a Lead Data Scientist in Card Data & Analytics Competitive Intelligence and AI you will partner with stakeholders to deliver impactful analytics...
DescriptionWe have an exciting opportunity for you to lead analytics and AI initiatives drive career growth and shape the future of Card Data & Analytics
As a Lead Data Scientist in Card Data & Analytics Competitive Intelligence and AI you will partner with stakeholders to deliver impactful analytics manage and develop teams and provide strategic insights to support growth and innovation across the Card business
Job responsibilities
- Establish partnerships with Card stakeholders to align and deliver the analytics roadmap for Competitive Intelligence and Gen AI initiatives
- Apply advanced analytical techniques to answer high-priority business questions across the Card business
- Lead teams of data scientists and analytics professionals overseeing development and execution of analytics initiatives
- Serve as a trusted advisor by recommending analytics best practices and methods to identify impactful opportunities
- Identify and articulate market insights and competitor trends using multiple external data sets
- Guide project teams in aggregating competitive intelligence data and synthesizing findings for stakeholders
- Manage develop and retain talent while fostering an inclusive team environment
Required qualifications capabilities and skills
- Bachelors and Masters degree in a quantitative discipline such as Data Science Mathematics Statistics Physics Engineering Economics or Finance
- Five years applied experience in analytics and leading teams of analysts
- Five years experience with SQL and at least one analytical tool: Python R or SAS
- Experience with visualization techniques for data analysis and presentation
- Superior problem-solving written oral communication and presentation skills with experience communicating effectively with all levels of management and partners
Preferred qualifications capabilities and skills
- Experience in financial services digital or customer experience analytics
- Hands-on experience with Python SQL and Tableau
- Familiarity with AI and market intelligence
Required Experience:
Manager
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