Data Science Manager Worldwide Installments Science Engineering
Data Science Manager Worldwide Installments Science Engineering
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
14-04-2025
Job Description
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 stateoftheart 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 marketleading features
Innovative ML solutions that directly impact customers
Your Playground:
Access to Amazons vast data ecosystem
Innovative probabilistic modeling
Realtime decisionmaking systems affecting millions
Globalscale 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 toptier professionals across Amazons global network
Were Seeking:
An exceptional talent to spearhead our ML roadmap. This role is your gateway to working with one of the worlds most complex and extensive data environments. Youll be at the nexus of data strategy and innovation directly influencing Amazons 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. Youll 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 isnt just a job its a chance to leave your mark on the future of financial technology.
Are you ready to redefine whats possible in FinTech Apply now and lets 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 largescale 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 stateoftheart 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 marketleading features
Innovative ML solutions that directly impact customers
Your Playground:
Access to Amazons vast data ecosystem
Innovative probabilistic modeling
Realtime decisionmaking systems affecting millions
Globalscale 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 toptier professionals across Amazons global network
Were Seeking:
An exceptional talent to spearhead our ML roadmap. This role is your gateway to working with one of the worlds most complex and extensive data environments. Youll be at the nexus of data strategy and innovation directly influencing Amazons 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. Youll 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 isnt just a job its a chance to leave your mark on the future of financial technology.
Are you ready to redefine whats possible in FinTech Apply now and lets 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 largescale 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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