As a Sr. Applied Scientist on the AMZL Energy Sciences team, you’ll apply your knowledge of electric vehicles (EVs) and couple that with a background in modeling, data science, optimization, and software development to help us develop and deploy our Last Mile electrified delivery fleet and charging infrastructure. You’ll have the opportunity to define our end to end electrification system - from the vehicles all the way back to the chargers, ensuring our fleet is successful as we scale. This role is inherently cross-functional and requires working closely with software teams, research teams, operations teams, and product management teams to help deploy our EVs into an electrified Last Mile network.

Key job responsibilities
-Develop a deep understanding of how EVs use energy on delivery routes, and how they perform over their life as the battery ages.

-Build system level modeling and simulation tools to develop EV and charging infrastructure requirements, optimizing for cost and reliability.

-Engage with other science teams in Last Mile, educating them on our electrification work and contributing technical knowledge to software development teams.

About the team
The AMZL Energy Sciences team was formed to guide the Global Fleet and Products organization's efforts to electrify our Last Mile delivery fleet. We leverage modeling, simulation, and optimization to help the business make the right choices at the right time, ensuring the fleet and charging infrastructure we deploy is operationally successful and cost-optimized. We provide our stakeholders with a deep understanding of how the network is performing as we scale, and provide data-driven solutions to problems as they arise.








 

BASIC QUALIFICATIONS

- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Understanding of energy and power concepts, and knowledge of physics related to energy consumption in transportation applications.
- Knowledge of optimization techniques (IP, MIP).

 

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Direct experience in building models for electric vehicle performance.
- Experience with EV charging system design, and understand of utility electricity rate structures (time of use charges, demand charges).

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 $150,400/year in our lowest geographic market up to $260,000/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.




 

• • USA, WA, Bellevue