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Lead Technical Architect
American Express
Phoenix, AZ, United States
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Description
American Express is aggressively digitizing our business with significant investment along every dimension in this space.
As part of this intensive effort, our Enterprise Digital Analytics (EDA) 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.
Job Responsibilities:
Our digital data science team is responsible for developing, innovating and integrating machine learning models into the American Express Global Consumer Service Group. The open positions of Senior Data Scientist/Data Scientist are responsible for development of analytical infrastructure, computational modeling pipeline and capabilities to drive new customer acquisition.
The list of responsibilities may include:
• Audience Targeting: Design and develop algorithms to target relevant and profitable audiences for American Express across all digital marketing channels
• Channel Optimization: Develop channel specific advertising algorithm to make real-time decision programmatically and drive channel efficiency
• Site Optimization: Deliver contextually relevant website content to prospect visiting AXP sites to drive incremental conversion
• Communication: Present results of complex analytic projects to business, non-technical audiences
Qualifications
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 is the right job for you.
• Ph.D/M.S. in Computer Science, Data Mining, Machine Learning, Statistics, Econometrics, Industry Engineering or related fields; 2+ years experience of applying machine learning techniques to real business problems is preferred.
• Strong working knowledge of data mining and machine learning techniques. Experience working on statistical/machine learning package such as Scikit-Learn, MLlib, Mahout
• Proficient coding experience in python/SQL/R/Java/C#, experience with Hadoop and Spark 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
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.