\\\\Description\\\\ 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. As part of Team Amex, you'll experience this 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. \\\\Senior Manager, Data Science AIM (Analytics, Investment & Marketing Enablement)\\\\ At American Express, our Global Commercial Services (GCS) business powers millions of businesses worldwide. Within GCS Marketing, the \\\\AIM (Analytics, Investment & Marketing Enablement)\\\\ team serves as the analytical engine driving profitable growth, smarter investments, and differentiated customer value. We are a high-impact, fast-moving team that blends \\\\advanced data science, deep business context, and innovation\\\\ to influence strategy at scale. If youre excited about solving complex problems, building production-grade models, and shaping how we engage customersthis is your opportunity to make a measurable difference. \\\\What Youll Do\\\\ As a Senior Manager, Data Science, you will lead the development of \\\\next-generation decision science solutions\\\\ that power Expense Management growth and customer engagement strategies. You will: \\+ \\\\Design and deploy advanced machine learning models\\\\ to optimize customer targeting, eligibility, and propensity segmentation \\+ \\\\Drive end-to-end data science solutions\\\\ from problem framing and feature engineering to model deployment and performance monitoring \\+ \\\\Enhance commercial data ecosystems\\\\ , identifying new data signals and features that unlock incremental business value \\+ \\\\Partner closely with marketing, product, and strategy teams\\\\ to translate business needs into scalable analytical solutions \\+ \\\\Influence acquisition and engagement strategies\\\\ through data-driven insights and experimentation \\+ \\\\Champion model governance and responsible AI practices\\\\ , ensuring models meet enterprise risk and compliance standards \\+ \\\\Communicate complex findings clearly\\\\ to senior stakeholders, shaping decision-making with actionable insights \\\\Why This Role Matters\\\\ \\+ Your work will directly impact \\\\customer growth, profitability, and targeting strategy\\\\ across a global portfolio \\+ Youll operate at the intersection of \\\\data science, marketing, and commercial strategy\\\\ \\+ Youll help define \\\\how American Express leverages AI/ML for competitive advantage\\\\ \\\\Minimum Qualifications\\\\ \\+ Bachelors degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Economics) or equivalent practical experience \\+ 3 years of experience in \\\\data science, decision science, or advanced analytics\\\\ , ideally in financial services or a related industry \\+ Proven ability to \\\\apply modern machine learning techniques\\\\ to solve real-world business problems \\+ Strong problem-solving skills with the ability to \\\\translate ambiguous business questions into analytical frameworks\\\\ \\+ Hands-on experience with \\\\Python, PySpark, and SQL\\\\ \\+ Solid understanding of \\\\data mining, feature engineering, and model evaluation techniques\\\\ \\\\Preferred Qualifications\\\\ \\+ Masters or PhD in a quantitative field \\+ Experience building and deploying models in \\\\production environments\\\\ \\+ Familiarity with \\\\marketing analytics, customer targeting, or credit/risk modeling\\\\ \\+ Strong storytelling skills with the ability to \\\\influence non-technical stakeholders\\\\ \\\\What Sets You Apart\\\\ \\+ You think like an owner and \\\\care about business impactnot just model accuracy\\\\ \\+ Youre curious, experimental, and constantly exploring \\\\new techniques and approaches\\\\ \\+ You thrive in a collaborative environment and enjoy \\\\turning data into strategy\\\\ \\\\Qualifications\\\\ Salary Range: $123,000.00 to $215,250.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well consider your location, experience, and other job-related factors. 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, but not limited to, 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: 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. \\\\Job:\\\\ Marketing \\\\Primary Location:\\\\ US-New York-New York \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26005134

A Bachelor's degree in a quantitative field or equivalent practical experience is required, along with at least three years of experience in data science, decision science, or advanced analytics. The role necessitates the ability to apply modern machine learning techniques to business problems and translate ambiguous questions into analytical frameworks. Hands-on experience with Python, PySpark, and SQL, as well as a solid understanding of data mining, feature engineering, and model evaluation techniques, are essential. A Master's or PhD in a quantitative field and experience building and deploying models in production environments are preferred qualifications.