Senior Data Scientist - GenAI & Payments Insights

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 110,000 - 170,000

Full time

46 hours ago
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Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Data Scientist Senior Associate to lead analytics for Merchant Services, delivering merchant and consumer insights that inform product strategy.

You will build scalable data pipelines with Snowflake, SQL, and Python, and develop GenAI/agentAI solutions in collaboration with product teams to drive measurable business impact. The role emphasizes rigorous testing of prompts, monitoring AI model performance, and clear communication of insights to senior

Qualifications

  • Bachelor’s or Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or related field.
  • 3+ years of relevant experience in data analytics or data science.
  • Strong programming skills in Python and SQL for data processing and analysis.
  • Experience with ML/AI concepts and large language models (LLMs).
  • Ability to translate business problems into analytical solutions and deliver actionable insights.

Responsibilities

  • Lead analytics projects within Payments Data & Analytics Customer Insights.
  • Develop scalable datasets and pipelines using Spark, SQL, and Python.
  • Design and refine prompts to improve AI model performance and reliability.
  • Drive GenAI solution development with SMEs and product partners.
  • Monitor AI model performance and implement improvements.
  • Collaborate with data owners, product managers, and data engineers to build scalable solutions.
  • Communicate results and insights to senior leadership and stakeholders.

Skills

Python
SQL
Data analysis
LLMs
Agent AI
Collaboration

Education

Bachelor’s or Master’s in STEM

Tools

Snowflake
AWS

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Data Scientist Senior Associate to lead analytics for Merchant Services, delivering merchant and consumer insights that inform product strategy.

You will build scalable data pipelines with Snowflake, SQL, and Python, and develop GenAI/agentAI solutions in collaboration with product teams to drive measurable business impact. The role emphasizes rigorous testing of prompts, monitoring AI model performance, and clear communication of insights to senior

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