Senior Manager -Data Science

Job Description

What type of work can you expect to do in Data Science at American Express?

The specific job responsibilities would depend on the team you are selected in for a full-time role. Broadly the role could entail some of the below listed responsibilities:

Why American Express?

There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.

Don’t make a difference without it.

Don’t live life without it.

At American Express, we provide customers with access to products, insights and experiences that enrich lives and build business success. Our customers include our Cardmembers as well as the small businesses, merchants, corporations, and bank partners that are all members of the dynamic American Express network.

As a Data Science Senior Manager, you have the opportunity to make your mark on technology and life at American Express. You’ll be challenged everyday as we work together to create digital products and develop actionable data-driven insights to meet the customers of tomorrow. It is an exciting opportunity for someone who wants to help shape digital experiences for one of the world’s top brands.

Where are these roles located within American Express?

Data Science colleagues will serve as a key member of teams in the Enterprise Digital & Analytics organizations. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices – sweating every fine detail when it comes to developing the analyses, models, and algorithms that power our customer’s digital experiences.

Enterprise & Digital Analytics:

An exciting opportunity for someone who wants to help shape, refine and build, Prospect and Customer digital connections, experiences and interactions for one of the world’s most respected companies, through advanced statistical techniques, AI, and machine learning. Enterprise Digital and Analytics team charter is to be an engine of growth, marketplace differentiation and efficiency for American Express.

• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.

We have the know-how, creative platform and global reach to make nearly any idea a reality. Do these describe you?

Skills/Experience

• Passion for improving end-to-end customer experience, innovation and customer first thinking
• Strong interest in analytics and data mining space and ability to collaborate with technology and product partners
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Ability to blend big picture thinking with fine details and manage many stakeholders
• Strong analytical, problem-solving/quantitative skills
• Willing to take risks, experiment, and share fresh perspectives
• Proficient in presentation tools, including Excel and PowerPoint
• Excellent written and verbal communication skills
• Ability to handle large datasets using SAS, SQL, R, Python or another similar programming language

Educational Requirements

• Advanced Degree (i.e. MS or PhD) in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, Computer Science
• Currently enrolled in full-time Graduate degree or PhD program

Why American Express?

There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.

Don’t make a difference without it.

Don’t live life without it.

Learn more about our Digital groups at American Express by visiting https://careers.americanexpress.com.
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.

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, protected veteran status, disability status, age, or any other status protected by law.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.