- 2+ years of Data Scientist experience
- 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
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
As an Data Scientist on the AMXL Science team, you will be tasked to understand and work with bleeding edge research to enable the implementation of sophisticated models on big data. As a successful Data Scientist in the AMXL team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, program managers, product managers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.
Key job responsibilities
- You will lead the innovation and research space for AMXL in the last mile and build production quality machine learning models that directly impact our day to day operations
- You will partner cross-functionally with our product and engineering teams to develop and deploy models that will shape the customer and delivery experience for our customers
- You will formalize 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
- You will communicate 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
Bellevue, WA, USA
- Experience in Python, Perl, or another scripting language
- Experience in a ML or Data Scientist role with a large technology company
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.