• Job Description

  Req#: 2936548
  Revolutionize the Future of FinTech with Worldwide Installments Science & Engineering!
  
  Are you ready to shape the future of global finance? Join the elite Worldwide Installments team within Amazon Payments (AP) and be at the forefront of innovation where novel machine learning approaches, advanced econometrics, and state-of-the-art technology converge to redefine the financial landscape.
  
  Our Mission: To create payment experiences and financial services that are unparalleled in trust, value, and ease of use – accessible from anywhere, anytime.
  
  What We Offer:
  - Unprecedented growth in a rapidly expanding market
  - Continuous innovation with market-leading features
  - Innovative ML solutions that directly impact customers
  
  Your Playground:
  - Access to Amazon's vast data ecosystem
  - Innovative probabilistic modeling
  - Real-time decision-making systems affecting millions
  - Global-scale experimentation and optimization
  
  Your Impact:
  - Influence the purchasing experience of hundreds of millions of consumers worldwide
  - Work on the most sophisticated FinTech challenges in the BNPL/Installment space
  - Collaborate with top-tier professionals across Amazon's global network
  
  We're Seeking:
  An exceptional talent to spearhead our ML roadmap. This role is your gateway to working with one of the world's most complex and extensive data environments. You'll be at the nexus of data, strategy, and innovation, directly influencing Amazon's global financial strategies.
  
  Your Arsenal:
  - Mastery in managing and deriving insights from massive datasets
  - Deep expertise in scalable data mining and financial modeling
  - Strong business acumen and superior communication skills
  - Ability to translate complex data into actionable business strategies
  
  Why This Role is Unmatched:
  This position offers unparalleled exposure to the pinnacle of FinTech innovation. You'll be working on challenges that no other company in the world can offer, with resources and scale that are truly unique to Amazon.
  
  Join us in revolutionizing global finance. Your expertise could shape how millions of people interact with money in the digital age. This isn't just a job – it's a chance to leave your mark on the future of financial technology.
  
  Are you ready to redefine what's possible in FinTech? Apply now and let's build the future together!- 5+ years of building quantitative solutions as a scientist or science manager experience
  - 2+ years of scientists or machine learning engineers management experience
  - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience
  - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  - Knowledge of Python or R or other scripting language- Experience directly managing scientists or machine learning engineers
  - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
  - Experience working on problems of a financial nature
  
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  
  Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

• About the company

  Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook. The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.

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