Lead Data Scientist, Payments: GenAI & Cost Insights

Testing Site - JPMC

New York (NY)

On-site

USD 190,000 - 250,000

Full time

14 days+

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Job summary

JPMorganChase's Payments Data & Analytics' Merchant Services Cost Insights team seeks a VP Data Scientist to advance cost-based analytics and GenAI applications. You will work with data engineers and business partners to deliver end-to-end AI-enabled solutions in the Chase Merchant Services portfolio, leveraging Snowflake, Python, and Tableau for pipelines and dashboards.

Join a senior team focused on data-driven insights, BI, and innovative AI capabilities, translating business problems into

Qualifications

  • Bachelor’s or Master’s degree in analytics, CS, statistics, math or similar technical 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.

Responsibilities

  • Create innovative cost-based analytics and GenAI applications.
  • Collaborate with data scientists and analysts on cost analytics.
  • Work on agile teams to support data-driven decision-making and stakeholder management.
  • Lead/partner on building virtual assistants and workflow automations using multi-agent AI patterns.

Skills

Python
SQL
Data analysis
Critical thinking
Problem solving

Education

Bachelor’s degree
Master’s degree

Tools

Snowflake
Tableau

Job description

JPMorganChase's Payments Data & Analytics' Merchant Services Cost Insights team seeks a VP Data Scientist to advance cost-based analytics and GenAI applications. You will work with data engineers and business partners to deliver end-to-end AI-enabled solutions in the Chase Merchant Services portfolio, leveraging Snowflake, Python, and Tableau for pipelines and dashboards.

Join a senior team focused on data-driven insights, BI, and innovative AI capabilities, translating business problems into

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