There are hundreds of opportunities to make your mark on technology and life at American Express. Here’s just some of what you’ll be doing:

• Taking your place as a core member of an agile team driving the latest development practices


• Writing code and unit tests, working with API specs and automation


• Identifying opportunities for adopting new technologies


• Leading a team of engineers that delivers knowledge management solutions to businesses worldwide

•  8+ years of relevant experience.


• Typically holds a Master’s Degree in Mathematics, Statistics or Information Systems that applies to deep Learning methods and/or computer vision algorithms. PhD preferred.


• Proven experience in strategic thought leadership, managing multiple complex projects and demonstrated strength in analytical thinking and problem solving.


• Experience with training models in linear regression, decision trees, random forests, logistical regression, clustering, dimensionality reduction, gradient descent, signal processing and time series analysis, text analytics and natural language processing, neural networks. 


• Understanding of the underlying statistical and computational theory.


• Must be hands on and able to write code and perform tests of applications.  


• Up-to-date knowledge of research advancements and industry applications in Machine Learning and adjacent fields.


• Engage in hands-on expertise and ensure alignment of strategy, architecture, technical design, and performance tools/methods in agile framework.


• Understanding of probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, and plotting data (scatter plots, box plots, gradient plots, polynomial surface plots), experimental design, and Bayesian inference.


• Preferred experience with Data Engineering and data analysis on large datasets.


• Knowledge in statistical computing languages (Python, or R).


• Understanding of programming fundamentals (data structures, algorithm theory, learning theory), software development experience (at least 2 of the following programming languages: Python, PySpark, Scala, Ruby, Java, C#, C++). Python and Java preferred. Understanding of big data computational methods.


• Ability to engage with Senior Management, ability to communicate Machine Learning concepts and identify areas for their application, ability to communicate data science work and results effectively to a senior management and non-technical audience, ability to communicate data science work to Software Engineers, Data Engineers, and Business Intelligence Analysts, story-telling skills, knowledge of visualizations packages in R and Python.


• Collaborate with a wide variety to stakeholders within Business and develop deep understanding of Technology teams across domains to drive change required to execute Product roadmaps.

 Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.