FAQs
What is the primary focus of the Analyst-Data Science role at American Express?
The primary focus is to work within the GSG Advanced Analytics team on various Data Science and Machine Learning projects, particularly in the area of Servicing.
What qualifications are required for the Analyst-Data Science position?
A proven experience in Machine Learning techniques, excellent data wrangling and visualization skills, as well as hands-on knowledge of SQL are required.
Is a specific degree necessary for this role?
Yes, a Master’s in a quantitative field such as Finance, Engineering, Mathematics, Statistics, Computer Science, or Economics is preferred.
Are there opportunities for career development in this role?
Yes, American Express offers various career development and training opportunities to support your growth.
What types of Machine Learning techniques should candidates be familiar with?
Candidates should be familiar with techniques such as Regression, Classification, Supervised or Unsupervised Recommenders, and Deep Learning.
Is experience with Natural Language Processing (NLP) important for this role?
Yes, a clear application and research focus on problem-solving through NLP is critical for this position.
What programming language is primarily used in this job?
Python is the primary programming language used, along with various libraries such as pandas, numpy, nltk, and more.
Does the company offer benefits related to mental health?
Yes, American Express offers free and confidential counseling support through their Healthy Minds program.
Is there an emphasis on teamwork for this position?
Yes, the ability to work in cross-functional teams is an important qualification for this role.
What kind of testing and validation experience is expected?
Candidates should have experience in performance testing and validation frameworks of machine learning models.