Senior Applied Scientist, Global Logistics

How can we optimize our global supply chain operations by leveraging advanced forecasting models and simulations? How do we build fiscally responsible models that account for potential disruptions, network changes, and macroeconomic scenarios?

What is the relationship between supply chain dynamics and customer demand patterns? How do we ensure resilience and agility without compromising efficiency?

Our team's stated mission is to "Empower aggressive, yet responsible data-driven decisions for our global supply chain operations by leveraging cutting-edge forecasting techniques and simulations.

International inbound supply chain forecasting at Amazon Global Logistics (AGL) is a critical function that enables us to meet customer demand while minimizing risks and maximizing efficiency.

Our team must keep pace with the ever-increasing complexities of a dynamically evolving global logistics transportation network and build counterfactual simulation models (CSM) to anticipate and respond to potential disruptions proactively.

Utilizing Amazon Web Services, you will formulate research questions about supply chain dynamics, build state-of-the-art forecasting models, and integrate these models into our operational systems.

You will participate in the Amazon analytics community and mentor data scientists & business intelligence engineers with a strong interest in and knowledge of supply chain optimization.

Your work will directly impact our global operations and logistics, and you will measure the impact using rigorous quantitative methods.

We are looking for a passionate, hard-working, and talented applied scientist who has experience building mission-critical, high-volume applications that drive operational excellence.

In this role, you should expect to make a significant impact on the design, architecture, and implementation of cutting-edge solutions that power our international inbound supply chain operations."

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 :

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 Tempe, AZ, USA

BASIC QUALIFICATIONS

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• 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!