Applied Scientist, Global Payments ML & Fraud

Amazon Science; Arlington (VA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

WW Installments, a fast-growing Amazon unit, seeks an Applied Scientist to build ML models and pipelines with direct customer impact. You will influence financing options and drive data-driven decisions across teams, from data engineering to software development.

Responsibilities include designing scalable production ML systems, identifying opportunities to influence business strategy, and leading projects with a cross-functional group of engineers and scientists to deliver impactful analytics

Qualifications

• Master's degree or above in computer science, machine learning, engineering, or related fields
• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

• Developing production machine learning models and pipelines for the WW Installments Fraud Detection team that directly impact customers.
• Apply expertise in machine learning to develop large-scale production systems deployed across Amazon businesses.
• Identify business opportunities, define and execute modeling approach, then deliver outcomes to various Amazon businesses with an Amazon-wide perspective.
• Lead the implementation of production ML from a scientific perspective including identifying consumer financial credit and fraud risks, milestones, and paths to mitigate risks.
• Identify new opportunities to influence business strategy and product vision using data science and machine learning.
• Continually improve the WW Installments ML roadmap automating and simplifying whenever possible.
• Coordinate support across engineers, scientists, and stakeholders to deliver ML pipelines, analytics projects, and build proof of concept applications.

Job description

WW Installments, a fast-growing Amazon unit, seeks an Applied Scientist to build ML models and pipelines with direct customer impact. You will influence financing options and drive data-driven decisions across teams, from data engineering to software development.

Responsibilities include designing scalable production ML systems, identifying opportunities to influence business strategy, and leading projects with a cross-functional group of engineers and scientists to deliver impactful analytics