AmazonApplied Scientist, Modeling and Optimization
Amazon is hiring an Applied Scientist, Modeling and Optimization 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 Little AI ●○○○: aI is not part of the work.
- The posting mentions Java, C and Python among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Develop mathematical optimization models and tools to improve global transportation and fulfillment networks.
The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost effectively as possible. We design the network that delivers products from vendors and sellers to end customers, through both Amazon’s internal network as well as external partners, using multiple transportation modes. Optimizing the end-to-end network requires deep understanding of inventory management, placement, transportation, and supply chain management. Only through innovative and strategic thing, we will make the right capital investments in technology, buildings and equipment that allows for long-term success.
Key job responsibilities
We are seeking an experienced scientist who has a solid background in Operations Research, Supply Chain Management, Applied Mathematics, or other similar domain.
In this role, you will develop and deploy models and tools that are innovative and scalable to solve new challenges in Amazon's global fulfillment network. You will collaborate with other scientists across teams to create integrated solutions that improves fulfillment speed, cost, and carbon emission. You have deep understanding of business challenges and provide scientific analysis to support business decision using a range of methodologies. You design science tool platforms, deploy models, create data pipelines, or simplify existing processes.
About the team
https://www.linkedin.com/feed/update/urn:li:activity:7089317294417346561/
Basic qualifications
- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred qualifications
- Experience implementing algorithms using both toolkits and self-developed code
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, Modeling and Optimization at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in applied scientist jobs at this level
Pay
- This job starts at
- $143k
- Typical applied scientist job
- $169k
This posting starts 16% below the typical applied scientist job. See applied scientist jobs
Questions you could be asked
- Tell me about a project where optimization was part of your work. What did you do?
- Tell me about a project where operations research was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
- Tell me about a project where modeling was part of your work. What did you do?
- Walk me through how you've used Java in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Optimization, Operations Research, Supply Chain, Modeling, and Java. 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.
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