What are the responsibilities and job description for the Data Scientist Lead - Payments position at JPMorgan Chase?
Join the JPM Payments Data & Analytics' Merchant Services Cost Insights team at JPMorganChase, where we leverage data science, research, and business acumen to promote client-focused innovation. Apply your technical skills to projects involving cost-based analytics and cutting-edge GenAI applications, creating impactful solutions for Chase Merchant Services clients.
As a Data Scientist Vice President in our Merchant Services Cost Insights team, you will be delivering excellence at the intersection of data science, research, and business domain expertise. You will have the opportunity to work on projects that focus on cost-based analytics, business intelligence, data engineering, and visualization. By combining your technical skills and understanding of the business context, you will collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers.
Our team supports multiple products, including Payment Insights, Digital Merchant Insights and Customer Insights, as well as custom, ad hoc client analytics . We also act as subject matter experts on Merchant Services processing data to create a data environment that supports diverse analytic objectives. Utilizing Snowflake, Python, and Tableau, we develop data pipelines and dashboards, prototype new GenAI capabilities and features using an emerging technical stack for delivery.
Job Responsibilities
• Create innovative solutions that make a difference for our customers, clients, and employees.
• Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
• Work on agile teams to support data-driven decision-making and manage stakeholders.
• Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
• Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
• Design and refine prompts and interaction patterns to improve AI assistant performance; work with subject matter experts to align AI behavior with business goals and user needs.
• Drive iterative development: testing, reliability evaluation, monitoring, and continuous improvement of GenAI/agentic solutions in production.
Required Qualifications, Capabilities, and Skills
• Bachelor’s or Master’s degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field
• Minimum 6 years relevant work experience.
• Experience in data analysis, data science, or a related field.
• Familiarity with Snowflake for data management and analysis.
• Proficiency in Python and SQL for data processing and analysis.
• Strong problem-solving and critical thinking skills.
Preferred Qualifications, Capabilities, and Skills
• Understanding of quality assurance practices and the importance of data integrity.
• Knowledge of machine learning/data science theory, techniques, and tools.
• Awareness of big data technologies (e.g., Hive, Hadoop, Spark) and distributed computing concepts like MapReduce.
• Familiarity with data visualization tools, such as Tableau.
• Knowledge of the Software and Product Development Life Cycle .