DESCRIPTION Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Last Mile Solutions Engineering team.
WW AMZL Solutions Engineering team is looking to build out our Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you're interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you've come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Simulation Scientist, 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, engineers 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. As a simulation scientist, you will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.
Key job responsibilities
•Design, develop, and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the Last Mile network
•Lead and coordinate simulation efforts for optimal solutions through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations and site layout
•The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand.
•Working with technical and non-technical customers to design experiments, simulations, and communicate results
•Develop, document and update simulation standards, including standard results reports
•Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions
•Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control
•Work closely with vendors, suppliers and other cross functional teams to come up with innovative solutions
•Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners
•Conduct post-mortem on simulations, after implementation of new designs, in partnering with Safety and Operations
A day in the life
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!
Benefits:
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:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here:
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA BASIC QUALIFICATIONS - 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
