Employment Information
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the AMXL team is for you. We manage the delivery of Heavy and Bulky products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
As a Senior 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 senior scientist within the AMXL Science 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 forecasting space 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 through improved forecasting accuracy
- 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
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/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.
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