Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Manager, Data Science
New York, NY, United States
Live, first seen by us 82 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions
What you’ll work on
Full postingReview credit risk, fraud risk, and line management models for soundness, data quality, and performance
Write detailed model review reports and prepare for regulatory and internal audit reviews
Communicate model review results to business partners, senior leaders, and regulators
Evaluate machine learning algorithms and how they are applied in models
Enhance the governance framework for evolving modeling techniques and model risk management
From the employer’s posting
Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring
Document detailed model review reports and prepare for regulatory and internal audit reviews
Communicate model review results to business partners, senior leaders, and regulators
Evaluate machine learning algorithms and their application on models
Enhance governance framework to accommodate the evolving modeling techniques, model development, as well as model risk management
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 21, 202682 days ago
- Recorded sightings
- 332
- Last seen by us
- Nov 12, 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 82
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past American Express’s usual: its jobs come down by about day 8.
From 11,547 similar postings that came down, and 293 of American Express’s. Coming down is not always a hire.
American Express is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down quickly
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.
- C++
- Java
- Python
- R
- Scala
- AWS
- Hadoop
- Hive
- Spark
- XGBoost
Where the posting names them
- Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS. - Must be skilled in coding using Python/R; additionally, Java, Scala, and C++ a plus. - Strong communication and written skills
- The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions. - Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS. - Must be skilled in coding using Python/R; additionally, Java, Scala, and C++ a plus.
- Hands-on modeling experience is preferred - The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions. - Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS.
Your next step
Complete your application on egug.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
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Already applied? Track this application
About American Express
- People
- About 76,800 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as AXP.
- H-1B visas
- 55 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% 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 Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
The Model Risk Management Group (MRMG) is responsible for oversight of model risk and governance over machine learning usage enterprise wide. The role will be primarily responsible for the review of credit risk, fraud risk, and line management models. The responsibilities of the individual are also to ensure that there is an elevation of modeling as well as fulfilling regulatory requirements for model risk management. This is a highly competitive role and one that ensures the individual achieves maximum potential intellectually as well as for the company.
This role will report to a director in MRMG. The specific responsibilities include:
- Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring
- Document detailed model review reports and prepare for regulatory and internal audit reviews
- Communicate model review results to business partners, senior leaders, and regulators
- Evaluate machine learning algorithms and their application on models
- Enhance governance framework to accommodate the evolving modeling techniques, model development, as well as model risk management
- Advanced degree in quantitative fields
- Hands-on modeling experience is preferred
- The qualified candidate should have a good understanding of machine learning algorithms (e.g., gradient boosting machine, XGBoost, neural network), artificial intelligence, deep learning as well as classic statistical modeling techniques and assumptions.
- Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS.
- Must be skilled in coding using Python/R; additionally, Java, Scala, and C++ a plus.
- Strong communication and written skills
- Flexibility and adaptability to work within tight deadlines and changing priorities
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
- Flexibility and adaptability to work within tight deadlines and changing priorities Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.