Senior Associate AI Data Scientist

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
21 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $174k
$114k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $146,100–$201,437.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate AI Data Scientist

As an AI Data Scientist - Senior Associate within the Wholesale Payments Data and Analytics team, you will leverage technical skills and business acumen to design and implement end-to-end solutions for Merchant Services. You will focus on creating chat assistants and workflow automations powered by LLMs and multi-agent patterns while developing data pipelines and dashboards. Your daily work involves refining prompts to improve model performance, prototyping generative AI features, and ensuring the quality of intelligent solutions through rigorous testing and monitoring. The role requires proficiency in Python, SQL, Snowflake, and Tableau to support analytics for location optimization and targeted marketing strategies. You will apply machine learning theory, quantitative research techniques, and data engineering to solve complex problems regarding business process automation and provide deep consumer insights within the merchant services domain.

What you'll do

  • Design and implement end-to-end AI solutions including chat assistants and workflow automations powered by LLMs.
  • Develop data pipelines and interactive dashboards using tools like Snowflake, Python, and Tableau.
  • Refine prompts to improve AI model performance and align them with specific business goals.
  • Prototype and iterate on new generative AI capabilities and features to enhance user experience.
  • Monitor AI model performance and implement updates to ensure quality, reliability, and relevance.
  • Conduct rigorous testing and evaluation of intelligent solutions to ensure data integrity.
  • Execute custom client analytics requests and support customer insight applications on an ad hoc basis.

What we're looking for

  • Master’s Degree in Science, Technology, Engineering, Mathematics (STEM), or a related field.
  • 3+ years of relevant work experience.
  • Proficiency in Python and SQL for data processing and analysis.
  • Expertise in quantitative research techniques and analytics using Python.
  • Knowledge of machine learning/data science theory, techniques, and tools.
  • Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
  • Familiarity with AWS and Snowflake for data management and analysis (preferred).
  • Familiarity with evaluation/monitoring concepts for GenAI solutions (preferred).

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