Applied Scientist for Global Installments ML

Amazon Inc.; Seattle (WA); 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

Amazon.com Services LLC's WW Installments team is seeking an Applied Scientist to build machine learning models and pipelines with direct customer impact. You will tackle fraud detection and credit risk at scale, delivering measurable improvements to financing options for millions of shoppers.

You will collaborate with data engineers, software engineers, and business partners to deploy production-grade ML systems, define modeling strategies, and push the ML roadmap forward while navigating

Qualifications

• Master's degree or above in computer science, machine learning, engineering, or related fields.
• 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.
• Experience in 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 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

Java

C++

Python

Machine learning

Education

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

PhD in CS/ML/Engineering

Job description

Amazon.com Services LLC's WW Installments team is seeking an Applied Scientist to build machine learning models and pipelines with direct customer impact. You will tackle fraud detection and credit risk at scale, delivering measurable improvements to financing options for millions of shoppers.

You will collaborate with data engineers, software engineers, and business partners to deploy production-grade ML systems, define modeling strategies, and push the ML roadmap forward while navigating