Analyst-Data Science (SQL, Python, ML)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Commercial Data Quality & Data Products Analytics’

AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, you will be challenged with enriching the quality of commercial data elements for usage in targeting and creating world class data products by leveraging machine learning and other advanced methodologies. The person will perform data analysis, strategy, synthesize conclusions, and present insights to drive business outcomes. The position is part of a highly collaborative environment, interacting with and influencing partners across Global Commercial Services.

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  Create and implement analytical solutions on enriching data quality for usage across analytics and targeting.
  
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  Create innovative data products encompassing commercial prospect and customer targeting use-cases, to drive profitable acquisition and engagement strategy (few examples of data products include - Product/Channel Propensity, Best Time to Call or Lead Quality Index (LQI), identifying commercial expense categories etc.)
  
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  Work with external data vendors to evaluate external data for small businesses incl. signals, inflection points and establish the proof of concept on investing in purchasing the data to improve/enrich commercial targeting.
  
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  Collaborate with Decision Science and Capabilities teams to build analytical solutions to improve coverage & accuracy of key data elements which are critical inputs into models and marketing/Sales campaigns.
  

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  Master's Degree or MBA, in a quantitative field (e.g. Finance, Engineering, Physics, Mathematics, Computer Science or Economics)
  
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  Excellent SAS/SQL Skills and experience of working with large and unstructured data.
  
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  Excellent communication and interpersonal skills.
  
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  Familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), and matrix factorization methods
  
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  Experience working with very large datasets using Big Data tools and platforms (Hadoop, PIG/HIVE/Mahout)
  
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  Strong working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines)
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities