Senior Data Science Engineer Jobs in New York, NY
Senior Data Science Engineer jobs in New York are in strong demand, concentrated in Midtown, the Financial District, and Hudson Yards across finance, media, and tech. Employers actively hiring include Amazon, American Express, and Capital One. See the openings below and apply to the ones that match your experience.
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INTRODUCTION
Credit & Fraud Risk Finance team delivers fact-based, decision-driven and high-impact Net Loss Provision forecasts and credit-risk related insights through deep analytics. The key objective is to drive prudent financial decisions and support credit-risk strategies while ensuring adherence to governance and controls.
The CFR Financial Insights Team is a project-based team committed to providing insightful analytics and informed recommendations to drive profitable growth, with a strong focus on advanced analytics, automation, and innovation.
ROLE AND RESPONSIBILITIES
This Manager role sits within Risk Finance and partners closely with Credit & Fraud Risk, Finance LFOs, EFP&A, Investor Relations, Marketing, Investment Optimization, and Technology to support enterprise decision-making, planning, and forecasting.
The role combines deep analytical expertise, Generative AI-driven innovation, and hands-on technical development to modernize how insights and forecasts are produced.
You will lead complex, cross-functional analytics that link risk actions to customer behavior, financial outcomes, and loss metrics, while building scalable analytical solutions and driving innovation in Risk Finance.
You’ll influence and inform cross-enterprise strategic decision-making by performing nuanced analytics on card member and segment behavior as well as peer and industry trends, always keeping in mind profitability expectations and impact to losses.
MINIMUM QUALIFICATIONS
- 4+ years of relevant experience in finance, risk analytics, data science, or related analytical roles.
- BS/MS in Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Strong analytical skills with hands-on experience working with large, complex datasets.
- Proficiency in SQL and Python for data extraction, analysis, and automation.
- Experience applying quantitative techniques such as segmentation, regression, and scenario analysis to generate business insights.
- Demonstrated ability to translate complex analytical concepts into clear business insights.
- Excellent written and verbal communication skills, with experience presenting to senior management.
- Strong problem-solving skills and ability to operate in a fast-paced, ambiguous environment.
PREFERRED QUALIFICATIONS
- Experience developing or applying Generative AI use cases in analytics, reporting, or workflow automation.
- Familiarity with Lumi or large-scale data environments.
- Experience with Power BI or other data visualization tools.
- Background in financial analytics, credit risk, or forecasting.
- Proven track record of driving automation and analytical modernization.
- Familiarity with financial planning tools such as IBM TM1 / PAW or similar platforms.
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.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
See All 47 Senior Data Science Engineer Jobs in New York
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Find JobsSenior Data Science Engineer Job Market in New York
Who's Hiring
- Amazon5

- American Express4

- Capital One3

- Amazon Web Services3

- Lyft2

Top Industries Hiring
- Technology & Software13
- Insurance6
- Retail5
- E-Commerce & Online Marketplaces5
- Consulting & Professional Services4
Senior Data Science Engineer Jobs in New York: Frequently Asked Questions
How do I get a senior data science engineer job in New York?
New York's strongest hiring comes from financial services firms on Wall Street, media and advertising companies in Midtown, and the growing tech corridor around Hudson Yards and Flatiron. Candidates who stand out typically combine strong Python or Scala skills with experience in large-scale production ML systems. Familiarity with financial data, real-time pipelines, or NLP gives you a clear edge with the city's dominant employer types.
Which companies hire senior data science engineers in New York?
Employers hiring senior data science engineers in New York right now include Amazon, American Express, and Capital One, based on current listings on Migrate Mate as of June 2026. New York's hiring mix skews toward major banks and asset managers, large media groups, and enterprise tech companies with significant New York offices.
Are there remote senior data science engineer jobs in New York?
Yes, though many roles tied to financial compliance or proprietary data require on-site presence. About 55% of senior data science engineer openings tied to New York are remote or hybrid as of June 2026, with flexibility most common at tech firms and media companies in Midtown and Hudson Yards.
How can I get a senior data science engineer job in New York with little or no experience?
The most realistic entry path in New York is through a data analyst or junior machine learning engineer role at a mid-size fintech or adtech firm, where promotion timelines are faster than at bulge-bracket banks. New York also has a dense network of data-focused bootcamps and university programs whose employer relationships can open doors at local companies that prefer to grow their own engineers.
Which industries hire the most senior data science engineers in New York?
Most senior data science engineer openings in New York sit in Technology & Software, Insurance, and Retail, per current listings on Migrate Mate as of June 2026. New York's concentration of global financial institutions, large advertising and media groups, and expanding health-tech companies makes it one of the most sector-diverse markets in the country for this role.
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