Senior Manager Data Science

Job description

**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.
The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express.

Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization.

It is the analytical engine that powers profitable business growth through consultative and innovative solutions across.

The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.
The Senior Manager will be responsible for developing next gen decision science solutions for expense management through best-in-class algorithms and deep business understanding.

The role will be responsible for optimizing the way we target our existing customers by defining eligibility & propensity segmentation for EM & ongoing enhancements enhancing commercial data attributes, build best-in-class decision science solutions for effective targeting of Expense Management acquisitions.
**How will you make an impact in this role?**
**The roles and responsibilities of the position would include but not be limited to:**
+ Developing and enhancing statistical models and segmentations by utilizing the best-in-class ML modeling techniques
+ Developing the modeling solutions following the principles of model governance and controls established by the second and third line
+ Work closely with business partners for requirement gathering and delivering solutions
+ Research, develop, and present ideas and solutions to the multiple stakeholders
**Minimum Qualifications**
+ Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field with 3 years of work experience in similar decision science and/or analytics role with financial or related industry
+ Demonstrated ability to apply cutting edge statistical techniques to solve business problems
+ Ability to understand data, synthesize into real-world meaning, break down business problems, and conduct brainstorming
+ Good working knowledge of data mining techniques and open source machine learning algorithms
+ Strong programming skills in PySpark/Python/SQL
**Preferred Qualifications**
+ Master's degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field with 3 years of work experience in similar decision science and/or analytics role with financial or related industry
**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, we’ll 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: https://www.eeoc.gov/poster
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:** 25019162

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