Analyst – Data Science & Analytics

Analyst – Data Science & Analytics


Purpose of the Role:

We are seeking a data science professional and problem-solver to serve as Analyst – Data Science and Analytics, C360. Key responsibilities for this role would be development of advanced matching algorithms/frameworks and arbitration strategies as well as serving analytical needs for C360. Part of this role will be to work with platform owners for deployment of data science solutions to improve customer matching globally, enrich data and enhance accuracy to drive Amex economics in various areas – marketing, new accounts acquisition and onboarding, risk management, customer servicing, customer management, credit & collections etc.

Job Responsibilities

  • Conceptualize and develop advanced matching algorithms and frameworks for entity resolution (Individual and Business) globally
  • Create frameworks and solutions to capture cross-customer linkages and networks
  • E2E ownership of analytical needs for the product
  • Monitor and analyze data quality and intelligence that is generated by algorithms
  • Develop systematic way to identify gaps in existing algorithms and processes
  • Provide thought leadership to product owners and tech leads on platform architecture to ensure seamless deployment of data science solutions
  • Partner with product owners and tech leads to deploy data science solutions in an Agile environment
  • Maintain an external lens to inform decisions and business strategies
  • Lead new initiatives, prepare project plans and other supporting information.

Academic Background:

Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.)

Past Experience:

  • 0-2 years of hands-on experiences in ML/AI modeling or application.
  • 0-2 years of practical experience in designing and managing automation process
  • Team player with strong communication skills

Behavioural areas:

Enterprise Leadership Behaviours

  • Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
  • Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
  • Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

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