Senior Data Scientist – Cards and Credit
Job Description:
• Bring impeccable communication and complete ownership — independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Develop a nuanced understanding of cardholder behavior and economics, helping teams reason about tradeoffs between growth, engagement, risk, and unit economics.
• Define, own, and analyze metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilization, rewards, retention, loss signals).
• Design and evaluate experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Build and improve data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
Requirements:
• 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Be fluent in SQL and comfortable with python.
• Demonstrate strong judgment in defining and analyzing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Operate with exceptional proactivity and independence — identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Be experienced with modern analytics and data modeling stacks (e.g., dbt, dimensional models), with a solid understanding of how data is produced and consumed.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.
• Nice to have: Experience working on cards or credit products, such as corporate cards, charge cards, consumer cards, or revolving credit products.
Benefits:
• base salary
• equity (stock options)
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• Bring impeccable communication and complete ownership — independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Develop a nuanced understanding of cardholder behavior and economics, helping teams reason about tradeoffs between growth, engagement, risk, and unit economics.
• Define, own, and analyze metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilization, rewards, retention, loss signals).
• Design and evaluate experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Build and improve data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
Requirements:
• 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Be fluent in SQL and comfortable with python.
• Demonstrate strong judgment in defining and analyzing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Operate with exceptional proactivity and independence — identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Be experienced with modern analytics and data modeling stacks (e.g., dbt, dimensional models), with a solid understanding of how data is produced and consumed.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.
• Nice to have: Experience working on cards or credit products, such as corporate cards, charge cards, consumer cards, or revolving credit products.
Benefits:
• base salary
• equity (stock options)
Apply tot his job
Apply To this Job