Mgr-Data Science
Role details
Job location
Tech stack
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., 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.
Requirements
- 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.Ability to learn quickly and work independently with sophisticated, unstructured initiatives.
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)Experience using Git and GitHub
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- Retirement plan
- Vision insurance
- Dental insurance
- Life insurance, * 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