Applied Scientist, Global Installments ML & Fraud

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

Job summary

Amazon's WW Installments is hiring an Applied Scientist to build machine learning models and production pipelines with direct customer impact. You will work across data engineering, software development, and business teams to deliver data-driven decisions and scalable ML solutions that influence financing options for Amazon customers.

You will lead modeling efforts, tackle fraud risk, and contribute to an ambitious ML roadmap across the organization while operating with autonomy in a fast-paced

Qualifications

• Master's degree or higher in CS/ML/engineering or related field.
• 3+ years building models for business applications.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.

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 that are deployed across Amazon businesses.
• Identify business opportunities, define and execute modeling approach, then deliver outcomes to various Amazon businesses with an Amazon-wide perspective for solutions.
• Lead the implementation of production ML from a scientific perspective including identifying consumer financial credit and fraud risks, key milestones, and paths to mitigate risks.
• Identifying 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.
• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.

Skills

ML model building

Cross-functional collaboration

Education

Master's degree or above in CS/ML/engineering

PhD in CS/ML/engineering

Tools

Java

C++

Python

Unix/Linux

Job description

Amazon's WW Installments is hiring an Applied Scientist to build machine learning models and production pipelines with direct customer impact. You will work across data engineering, software development, and business teams to deliver data-driven decisions and scalable ML solutions that influence financing options for Amazon customers.

You will lead modeling efforts, tackle fraud risk, and contribute to an ambitious ML roadmap across the organization while operating with autonomy in a fast-paced