Top 261 Math supervisor Jobs in New York, Ny

Mgr-Data Science
American Express —New York, NY
- $103,750 - $174,750 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- 3 years
- Paid parental leave
- Health insurance
Manager, Machine Learning Engineering (Fraud)
Affirm —New York, NY
- $204,000 - $290,000 a year
- Remote
- Management
- 8 years
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Manager-Data Science
American Express —New York, NY
- $103,750 - $174,750 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Mid-level
- Paid parental leave
- Health insurance
QA Manager
Mitsui Chemical America —New York, NY
- $88,000 - $130,000 a year
- Remote
- Microsoft Excel
- Microsoft Outlook
- 5 years
- Health insurance
- Dental insurance
Quick Apply
CTIO AI Engineering Manager
PwC —New York, NY
- $73,500 - $244,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Paid holidays
- Health insurance
Sr. Delivery Practice Manager, HCLS, AWS Professional Services, Healthcare & Life Sciences
Amazon Web Services, Inc. —New York, NY
- $201,000 - $299,200 a year
- Full-time
- Computer science
- Azure
- Oracle
- AD&D insurance
- Health insurance
IT Project Manager
Contact Government Services, LLC —New York, NY
- $100,000 - $205,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Quick Apply
Principal Customer Solutions Manager (CSM), US Healthcare & Life Sciences (HCLS)
Amazon Web Services, Inc. —New York, NY
- $201,000 - $272,000 a year
- Full-time
- Customer service
- HIPAA
- AWS
- AD&D insurance
- Health insurance
Technical Project Manager
Major League Baseball —New York, NY
- $115,000 - $150,000 a year
- Email
- Google Workspace
- Microsoft Outlook
- Computer Science
- Paid parental leave
- Paid holidays
Quick Apply
Technical Product Manager
Bilt Rewards —New York, NY
- $160,000 - $250,000 a year
- Full-time
- 5 years
- Bachelor of Science
- Office
- Health insurance
- Flexible spending account
Manager, Data Science
Whatnot —New York, NY
- $221,000 - $320,000 a year
- Full-time
- Remote
- Analysis skills
- Senior level
- Leadership
- Paid parental leave
- Health insurance
Product Manager, Portfolio Analytics
Markov Processes International —Summit, NJ
- Computer Science
- Office
- Finance
Manager, Investment Analytics and Technology
United Jewish Appeal-Fed of Jewish —New York, NY
- $155,000 - $180,000 a year
- Hybrid work
- Azure
- Computer Science
- 5 years
Senior Technical Project Manager
Quantifind —New York, NY
- $140,000 - $160,000 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Bachelor of Science
- Paid time off
- 401(k) matching
Quick Apply
Product Manager, AI
London Stock Exchange Group —New York, NY
- $126,900 - $211,500 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
- Commuter assistance
- Health insurance
Manager, Data Engineering
Building Service 32BJ Benefit Funds —New York, NY
- $140,000 - $150,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Quick Apply
Principal Customer Solutions Manager, Healthcare & Life Sciences
Amazon Web Services, Inc. —New York, NY
- $201,000 - $272,000 a year
- Full-time
- AWS
- Senior level
- Leadership
- AD&D insurance
- Health insurance
Data Science Manager - AI Trainer
DataAnnotation —East Newark, NJ
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Portfolio Manager - AI Trainer
DataAnnotation —New York, NY
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply
Portfolio Manager - AI Trainer
DataAnnotation —New York, NY
- $50 - $100 an hour
- Part-time
- Remote
- English
- Master's degree
- Doctor of Philosophy
Quick Apply

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Mgr-Data Science

American Express -
New York, NY

Apply Now

Job Details

Full-time
$103,750 - $174,750 a year

Benefits

Paid parental leave
Visa sponsorship
Health insurance
Dental insurance
Parental leave
Vision insurance
Life insurance
Retirement plan

Qualifications

AI models
Database systems
Machine intelligence
Model deployment
Cross-functional collaboration
Data analytics technologies
Cross-functional communication

Full Job Description

The Finance Organization drives business value by being a strategic partner in every decision made in support of the Company’s success. We bring a powerful combination of financial expertise, a deep understanding of complex analytics, a thorough knowledge of the risk environment, and a commitment to upholding the highest standards of financial integrity.

This role sits within Finance Data Science and Analytics, a team focused on developing innovative solutions that bring greater stability, predictability, and insight to the AXP P&L through data science, machine learning, and advanced analytics.

Minimum Qualifications:

Minimum of 3+ years of experience in data science or machine learning, with a focus on developing and deploying machine learning models.
MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Chemistry, Operations Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
Expertise in an analytical language (Python preferred), and experience with databases (Google BigQuery or equivalent) is required.
Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
Ability to work effectively in a team environment.
Independent thinker who is organized, has great attention to detail, and can effectively handle complexity.
Strong communication skills; ability to integrate with cross-functional business partners.

Preferred Qualifications:

Experience with data visualization is a plus.
Solid understanding of card and lending economics
Proficiency in dealing with large quantities of complex data and ability to derive actionable insights
Demonstrated ability to communicate technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications
Ability to research and apply new/unfamiliar data science methods
Experience with Generative AI (APIs, MCP, agents)

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Apply Now

Refine Your Search

math supervisor jobs in new york, ny

Mgr-Data Science

Manager, Machine Learning Engineering (Fraud)

Manager-Data Science

QA Manager

CTIO AI Engineering Manager

Sr. Delivery Practice Manager, HCLS, AWS Professional Services, Healthcare & Life Sciences

IT Project Manager

Principal Customer Solutions Manager (CSM), US Healthcare & Life Sciences (HCLS)

Technical Project Manager

Technical Product Manager

Manager, Data Science

Product Manager, Portfolio Analytics

Manager, Investment Analytics and Technology

Senior Technical Project Manager

Product Manager, AI

Manager, Data Engineering

Principal Customer Solutions Manager, Healthcare & Life Sciences

Data Science Manager - AI Trainer

Portfolio Manager - AI Trainer

Portfolio Manager - AI Trainer

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