Applied Scientist, Ads Measurement & AI Insights

Amazon Inc.; New York (NY); On-site; USD 172,000 - 223,000; Full time

Job summary

Amazon.com Services LLC in New York, NY, is seeking an Applied Scientist to lead measurement solutions end-to-end for ads. You will design, implement, and productionize models that quantify advertiser impact across online and offline channels.

Join a cross-disciplinary team of ML, NLP, CV, and causal inference experts; contribute to multi-faceted projects, publish findings, and mentor junior scientists while collaborating with engineers and product teams.

Qualifications

• 3+ years building models for business applications.
• PhD or Master's + 4+ years in CS, CE, ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Responsibilities

• Invent measurement solutions using deep expertise in one or more scientific disciplines.
• Disambiguate problems with clear evaluation frameworks and success criteria.
• Write high quality technical documents and publish works with the team.
• Implement a significant portion of critical-path code and partner with engineers to productionize solutions.
• Collaborate with other scientists to deliver large, multi-faceted technical projects.
• Share and publish works with the broader scientific community.
• Communicate clearly to technical and non-technical audiences.
• Mentor junior scientists and participate in hiring.

Skills

Java

C++

Python

Education

PhD or MS + CS/CE/ML related field

Tools

Unix/Linux

Job description

Amazon.com Services LLC in New York, NY, is seeking an Applied Scientist to lead measurement solutions end-to-end for ads. You will design, implement, and productionize models that quantify advertiser impact across online and offline channels.

Join a cross-disciplinary team of ML, NLP, CV, and causal inference experts; contribute to multi-faceted projects, publish findings, and mentor junior scientists while collaborating with engineers and product teams.