American Express Director-Data Science in New York, New York
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We are looking to hire a Director, Enterprise Personalization Decision Science, within the Credit & Fraud Risk (CFR) division at American Express. CFR is responsible for enabling profitable growth in close collaboration with business teams, managing the net loss provision for American Express, and reducing fraud related losses. The group manages multiple critical functions for the company including marketing decision science, underwriting strategies for credit products, ongoing exposure management of existing customers, developing, and managing credit & fraud risk models, and developing policies pertaining to credit and collections.
Purpose of the Role/ Responsibilities
The candidate will be responsible for leading the decision science team driving the enterprise personalization engine- Orchestra. Personalization is an evolving ecosystem that anticipates customer needs and powers relevant experiences, through the right channel at the right time, across the Enterprise. Orchestra is at the heart of Personalization and supports multiple Cross Business Use Cases which are displayed to customers across channels. Orchestra arbitrates what and where to show treatments, and personalizes how and when that content is delivered, improving Customer Experience and Business Outcomes.
The candidate will lead a team of data scientists in the development and enhancement of AI/ML decision science that fuel personalization across Amex proprietary platforms servicing existing customers. The candidate will have several core responsibilities including
Developing Decision Science solutions to support expansion of Personalization including expansion to additional placements, integrating new contents and supporting additional use cases including servicing
Elevating the Core Orchestra AI engine which spans across auto retraining models, resting framework, feature engineering, cross channel, and cross placement optimization
Innovate and identify challenger algorithms
Generate more value from existing data sources, rationalize number of features, and create new features to capture sequential and temporal information.
Build on optimization outcome framework and generate insights from P(click) models to increase marketing efficiency and influence growth strategy.
- Critical Factors to Success
This position is unique and lies at the intersection of advanced AI/ML and customer engagement solutions. Leader will work across multiple product, technology, and business teams to design, develop, enhance, and test sophisticated ML solutions that deliver superior economics, higher customer engagement, and incremental efficiencies. Demonstrated ability to remain abreast of the latest ML developments and innovations. Share key insights and developments with technical and non-technical audiences
Puts enterprise thinking first, connect the role’s agenda to enterprise priorities and balances the needs of customers, partners, colleagues & shareholders
Leads with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
Strong relationships and business partnerships across business units and key functional support areas
Thought leadership and ability to influence non-technical audiences and bring them along. Ability to convey rigorous mathematical concepts and considerations to non-experts
3-7 years’ experience applying ML to solve complex problems for large-scale applications
3-7 years of experience applying theoretical models in an applied environment, with successful experience building AI algorithms
0-3 years’ experience managing data scientists or proven experience building and managing a highly efficient cross-functional science talent pool
Reputation for building excitement and a culture of continuous learning leading technical teams
- Master’s degree in a quantitative field (data science, mathematics, computer science, statistics, operations research, management) preferred
Functional Skills / Technical Skills
Solid applied understanding of latest supervised and semi-supervised (self-learning) Machine Learning solutions. Ability to apply them in code and explain most used ones from a technical point of view, with complete clarity on advantages and disadvantages of each
Experience using ML across various applications such as images and text
Experience with PyTorch, TensorFlow and other similar open-source ML platforms
Understanding of technologies supporting development and implementation of ML solutions at Enterprise scale
Extensive knowledge of customer marketing ecosystem across the enterprise
Knowledge of Platforms
- Big Data - Cornerstone
Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
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.
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.
If the role you are applying for is designated as hybrid or onsite, you will be required to demonstrate that you have completed your primary COVID-19 vaccination series (i.e. 2 doses for Moderna/Pfizer and 1 dose for J&J) and, for medically eligible
colleagues, a booster shot, in order to work in or visit any of our offices. This requirement is subject to legally required accommodations.
Booster eligibility: The CDC has established guidelines for when adults are eligible to receive booster shots depending on when they completed their initial vaccine series (currently five months after the Pfizer-BioNTech and Moderna vaccines, and two months after the J&J Vaccine). If you have completed your primary vaccine series but have not yet reached your booster eligibility date, you will be able to come into the office; however, you will need to complete your booster within 30 days of becoming eligible to continue coming in and participating in company-sponsored in-person events.
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Primary Location: US-New York-New York
Req ID: 22027313
- American Express Jobs