Senior Data Scientist, Maple - Recommender System

Amazon

Ka, IN, United States
On-site
Recommendation system modeling
Supervised and uplift learning algorithms
A/b test design and statistical analysis
You will help millions of customers make informed purchase decisions while advancing Amazon's science by publishing research

Job Summary

  • You will help millions of customers make informed purchase decisions while advancing Amazon's science by publishing research.
  • The team is dedicated to surfacing the right payments-related recommendations to customers at the right time to create a rewarding shopping experience.
  • The team's culture emphasizes collaboration, mutual support, learning, and having a big impact on both Amazon's business and customers.

Matching Summary

You will help millions of customers make informed purchase decisions while advancing Amazon's science by publishing research.

Skills & Requirements

Must-have

  • recommendation system modeling
  • supervised and uplift learning algorithms
  • A/B test design and statistical analysis
  • distributed machine learning algorithms
  • data-driven model development

Nice-to-have

  • mentoring junior engineers and scientists
  • collaborative team culture
  • publishing scientific research
  • cross-functional stakeholder collaboration
  • focus on personal development

Key Requirements

  • experience with recommendation systems
  • statistical analysis skills
  • experience with machine learning at scale
  • mentorship experience
  • work authorization for United States

Work Rights

Not specified

Tailored Resume

Cover Letter