American Express is aggressively digitizing our business with significant investment along every dimension in this space.
As part of this intensive effort, our Integrated Marketing Solutions organization (IMS) has exciting opportunities available within our digital analytics team for digitally savvy data scientist with strong background in digital technology and analytics trends and exceptional quantitative and problem solving skills.
Our digital analytics team is responsible for developing, innovating and integrating digital analytics into the American Express Global Consumer Service Group. The open positions of Senior Data Scientist/Data Scientist are responsible for development of analytical infrastructure and computational and statistical capabilities to to drive new customer acquisition.
The list of responsibilities may include:
Audience Targeting: Design and develop algorithms and models to target profitable audiences for American Express social and display advertising
Audience Valuation: Apply economic theory and business logic to estimate the value of millions of cookies and billions of impressions
Bidding Optimization: Develop bidding algorithm to determine the right bid price in real-time
Site Optimization: Deliver contextually relevant website content to prospect visiting AXP sites to drive conversion
Communication: Present results of complex analytic projects to business, non-technical audiences Qualifications The ideal candidate should demonstrate creativity, curiosity and passion for dealing with large amounts of data and converting it into valuable, actionable information. Participation in data mining competitions, like KDD Cups, Netflix Challenge, Kaggle, etc., is a big plus. If you want to develop new algorithms and applications, test your ideas related to digital world and applied to vast amount of data, this may be the right job for you.
Ph.D. in Data Mining, Machine Learning, Statistics, Econometrics, Industry Engineering or related fields; or M.S. in related fields with 2+ years experience of applying data mining techniques to real business problems
Strong working knowledge of data mining and machine learning techniques. Experience working on statistical/machine learning package such as Scikit-Learn, MLlib,Mahout
Coding experience in python/Java/C#, experience with Hadoop dta platform is a plus
Creativity to go beyond current tools to deliver the best solution to the problem, ability and comfort with working independently and making key decisions on project
Excellent interpersonal, written, and verbal communication skills
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