Senior Engineer

American Express   •  

Phoenix, AZ

Industry: Accounting, Finance & Insurance


5 - 7 years

Posted 32 days ago

This job is no longer available.


You won’t just shape the world of software. You’ll shape the world of life, work and play. Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new perspectives are at the core of how we create a more powerful, personal and fulfilling experience for all our customers. So if you’re interested in a career creating breakthrough software and making an impact on an audience of millions, look no further. You won’t just keep up, you’ll break new ground. 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:

  • Incorporate and utilize ML techniques to better the processes & business. As part of the effort Cornerstone (our data availability & analytics environment) has exciting opportunities available for savvy data scientist with strong background in statistical modeling, machine learning & programming, and exceptional quantitative and problem-solving skills. Candidate should also possess passion for innovation and data exploration.
  • Taking your place as a core member of an agile team driving the latest development practices
  • Identifying opportunities for adopting new technologies
  • Leading a team of engineers that delivers knowledge management solutions to businesses worldwide



1. Preferably master of Science or higher in a quantitative discipline, e.g. Data Science, Statistics, Mathematics, Computer Sciences or similar or Bachelor of Science with 5+ years of experience in a highly quantitative position.

2. Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent).

3. Prior experience working with TB scale datasets using Big Data tools and platforms (Hadoop, Spark, or the equivalent).

5. Practical experience in building NLP solutions are strongly preferred.

6. High proficiency with the following technologies:

  • · Spark
  • · Python
  • · Big Data
  • · SQL
  • · Scala / Java
  • · Deep learning frameworks

7. Modeling proficiency:

  • · Linear models & descriptive statistics
  • · Natural Language Processing
  • · Bayesian Inference
  • · Decision Tree Models & Boosting
  • · Advanced time series forecasting
  • · Deep Learning

8. 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.

9. Team player with strong relationship building, management and influencing skills.

10. Experience working on statistical/machine learning package / framework such as Scikit-Learn, Spark MLlib, Mahout, Tensor flow etc.

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.