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 cutting-edge machine learning, 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
- Groundbreaking ML solutions that directly impact customers
🧠 Your Playground:
- Access to Amazon's vast data ecosystem
- Cutting-edge 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!
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.