Manager - Data Science

CFR Manager/Sr Manager – Global Decision Sciences

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Description

This position is in the Credit and Fraud Risk – Enterprise Personalization Decision Science team, for leading the customer marketing and personalization (PZN) Decision Science capability for consumer and commercial portfolios. The role is critical for accelerating the next wave of artificial intelligence (AI) and machine learning (ML) innovations for Enterprise customer personalization models to support the Blue Box’s growth ambitions and will be responsible for the governance of the development and delivery process for the enterprise models, to ensure they comply with all Model Risk Management Group requirements.

This role will specifically lead the Amex Offers Transformation initiative, a critical strategic priority for 9 international markets, which will encompass researching and implementing an alternative objective function (redemption model), integration of new offer partners, and innovation on ML and DS. We are looking for candidates who have extensive knowledge and practical experience in statistical modeling, machine learning and programming, and who possesses a passion for innovation and data exploration.

Qualifications

• Masters/PhD in a quantitative field (Statistics, Mathematics, Operation Research, Computer Science and etc.) with at least 3+ years of work experience leveraging sophisticated analytical and machine learning techniques to drive business results
• Strong relationship building, management and influencing skills
• Ability to manage a project, with knowledge of Agile methodologies
• Strong quantitative skills with a solid understanding of probability and statistics
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy
• Creativity to go beyond current tools to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects
• Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Programming experience in Java/Scala is a plus
• Prior experience working with very large datasets using Big Data tools and platforms (Hadoop, Spark, or the equivalent)
• Experience working in UNIX/Linux and distributed computing environments
• Deep understanding of machine learning/statistical algorithms such as boosting, random forest, KNN and neural network/deep learning. Experience with data visualization a plus

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.