Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
AI Data Scientist - Senior Associate
Reads like a ML Engineer role: putting models into production.
New York, NY, United States
Live, first seen by us 77 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and refine prompts to improve AI model performance
Build data pipelines and dashboards with Snowflake, Python and Tableau
Monitor AI model performance and implement updates to maintain quality
Conceptualize solutions that automate and optimize business processes
Conduct rigorous testing for reliability and effectiveness of AI designs
From the employer’s posting
Design and refine prompts to improve AI model performance.
Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards.
Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
Conceptualize solutions that automate and optimize business processes.
Conduct rigorous testing for reliability and effectiveness.
Education & alternatives
Required Qualifications, Capabilities, and Skills • Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field. • Proficiency in Python and SQL for data processing and analysis. • 3+ years relevant work experience. • Expertise in quantitative research techniques and analytics using Python. • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to collaborate effectively and cultivate strong partnerships. Preferred Qualifications, Capabilities, and Skills
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 24, 202677 days ago
- Recorded sightings
- 247
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Aug 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 77
Up longer than most. Similar jobs usually come down between day 7 and day 72.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 4,777 similar postings that came down, and 945 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
373 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Snowflake
- Tableau
Where the posting names them
Job Responsibilities • Conceptualize solutions that automate and optimize business processes. • Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs. • Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness. • Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making. • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. • Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms • Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis. Required Qualifications, Capabilities, and Skills
Required Qualifications, Capabilities, and Skills • Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field. • Proficiency in Python and SQL for data processing and analysis. • 3+ years relevant work experience. • Expertise in quantitative research techniques and analytics using Python. • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to collaborate effectively and cultivate strong partnerships. Preferred Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills • Experience in data analysis, data science, or a related field. • Familiarity with AWS, Snowflake for data management and analysis. • Attention to detail with a proven ability to learn new concepts and skills quickly. • Understanding of quality assurance practices and the importance of data integrity. • Ability to clearly develop and document analytic requirements with stakeholders. • Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Corporate & Investment Bank, Wholesale Payments Data and Analytics is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are insights that drive optimization of location and targeted marketing strategy for small business merchants, as well as deep consumer and business insights. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization.
As AI Data Scientist Senior Associate within Payments Data and Analytics, you will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will develop data pipelines and dashboards, prototype and iterate on new generative AI capabilities and features, and ensure the quality, integrity, and reliability of our intelligent solutions through testing, evaluation, and monitoring. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.
Job Responsibilities
• Conceptualize solutions that automate and optimize business processes.
• Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
• Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
• Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
• Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
• Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
• Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills
• Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
• Proficiency in Python and SQL for data processing and analysis.
• 3+ years relevant work experience.
• Expertise in quantitative research techniques and analytics using Python.
• Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
• Knowledge of machine learning/data science theory, techniques, and tools.
• Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
• Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills
• Experience in data analysis, data science, or a related field.
• Familiarity with AWS, Snowflake for data management and analysis.
• Attention to detail with a proven ability to learn new concepts and skills quickly.
• Understanding of quality assurance practices and the importance of data integrity.
• Ability to clearly develop and document analytic requirements with stakeholders.
• Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.