Description
Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon customer order fulfillment. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move billion units of inventory and ensure that customers get what they want when we promised to get it to them. If you are passionate about solving deep ... technical problems and building innovative solutions in a fast-paced environment, join us!
We are seeking an exceptionally talented individual to improve our analytic capabilities. The data scientists will drive innovation in the AFT Inbound system by developing new techniques and analytics for experimentation and prediction use cases. With a sprawling global supply chain encompassing a diverse range of suppliers, products, transportation methods, and building types, Amazon's logistics network is a complex web. The data scientist will join a group with a broad charter and stakeholders across Amazon operations. In this role, you will work in one of the world's largest and most complex data warehouse environments.
You must be passionate about working with large datasets and solving complex business questions with data insights. A successful candidate must have advanced data querying, quantitative, and modeling techniques. Expertise in synthesizing and communicating insights and recommendations to varying business and tech audiences will be critical in this role.
Key job responsibilities
The data scientist will perform deep dives across various system inputs/outputs, connect to key performance indicators through observational and simulation data, and detect anomalies to identify problems in our systems. The scientist will collaborate with software development engineers, other scientists, and business teams to reimagine the AFT Inbound space.
You will
• Conduct hands-on data analysis, build large-scale machine-learning models and pipeline
• Work closely with software engineers on detailed requirements, technical designs, and implementation of end-to-end solutions in production
• Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About The Team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
Inbound
AFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.
Amazon is investing heavily in building a world-class inventory receive system. You will develop and deploy innovation to enable accurate receiving and processing of inventory with optimal flow and visibility through the supply chain. You will be the architect who defines the critical data flow to effectively handle the variations in supplier packaging, signals, and carrier-specific intricacies and reimagine the optimal building flow.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Bellevue, WA, USA
Basic Qualifications
• 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 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
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
• Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience with Machine Learning and Generative AI
• Experience documenting modeling for technical and business leaders
• Experience working with scientists, economists, software developers, or product managers
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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2573763
