Data Science - Forecasting & Lab, Scot Forecasting & Lab

Amazon Amazon · Big Tech · Bellevue, WA · Data Science

This role focuses on improving existing machine learning methodologies within Amazon's supply chain optimization technologies. Responsibilities include analyzing large datasets, developing new data sources, enhancing and testing models, running computational experiments, and fine-tuning model parameters. The role also involves formalizing model assumptions, identifying outliers, and communicating findings to various stakeholders. Collaboration with internal and external researchers, including publishing papers, is expected.

What you'd actually do

  1. Analysis of large amounts of data from different parts of the supply chain and their associated business functions
  2. Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models
  3. Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
  4. Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations
  5. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms

Skills

Required

  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 2+ years of data scientist experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor's degree
  • Experience applying theoretical models in an applied environment

Nice to have

  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company

What the JD emphasized

  • strong analytical and communication skills
  • sophisticated algorithms
  • learning from large amounts of data
  • optimizing complex trade-offs
  • cutting edge research
  • big data
  • analytical problem solver
  • investigations and algorithms
  • synthesizing and communicating insights and recommendations

Other signals

  • improving upon existing machine learning methodologies
  • developing new data sources
  • developing and testing model enhancements
  • running computational experiments
  • fine-tuning model parameters for new models