Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (eg Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.
Master's or PhD in a relevant field
3-5 years of experience with various data analysis and visualization tools
Experience in Python, or another Scripting language; command line usage, eg, Bash
Experience in algorithms and data structures
Experience with various machine learning and modeling techniques and parameters that affect their performance
Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Experience with statistical modelling/machine learning
The motivation to achieve results in a fast-paced environment.
Strong attention to detail
Exceptional level of organization
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Ability to think creatively and solve problems
Fluency in a foreign language
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation