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Applied Scientist II, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT)

Amazon is hiring an Applied Scientist II, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT) in Bellevue, United States. It pays $143k-$193k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Python, Machine learning and optimization.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Applied Scientist to develop production optimization, simulation, and machine learning solutions for Amazon's Fulfillment Network.

PythonMachine learning
optimizationmathematical-modelingsimulationdata-science
The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Applied Scientist, with strong optimization and analytical skills, to develop production solutions for one of the most complex systems in the world: Amazon’s Fulfillment Network. At AFT Science, we design, build and deploy optimization, simulation, and machine learning solutions to power the production systems running at world wide Amazon Fulfillment Centers. We solve a wide range of problems that are encountered in the network, including labor planning and staffing, demand prioritization, pick assignment and scheduling, and flow process optimization. We are tasked to develop innovative, scalable, and reliable science-driven solutions that are beyond the published state of art in order to run frequently (ranging from every few minutes to every few hours per use case) and continuously in our large scale network.

Key job responsibilities
As an Applied Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:

* Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders, engineering teams, and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performance

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

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 Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

The AFT Science team has expertise in operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.

Basic qualifications

- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 2+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Relevant industry or academic applied research experience in operations research, optimization, machine learning, statistics or an equivalent field.

Preferred qualifications

- PhD with applied research experience and expertise in Operations Research, Optimization, Machine Learning, Statistics, or an equivalent field
- Experience in large scale optimization and decomposition techniques, planning and scheduling problems
- Experience in building machine learning models and developing algorithms for business applications
- Experience in developing and deploying code for production systems
- Experience with exploratory data analysis and experimental design

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

How we rate this

Applied Scientist II, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT) at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

OptimizationMathematical ModelingSimulationData SciencePythonMachine learning

Also common in applied scientist jobs at this level

Pay

This job starts at
$143k
Typical applied scientist job
$167k

This posting starts 15% below the typical applied scientist job. See applied scientist jobs

Questions you could be asked

  1. Tell me about a project where optimization was part of your work. What did you do?
  2. Tell me about a project where mathematical modeling was part of your work. What did you do?
  3. Tell me about a project where simulation was part of your work. What did you do?
  4. Tell me about a project where data science was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Optimization, Mathematical Modeling, Simulation, Data Science, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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