Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Amazon Postdoctoral Scientist, Supply Chain Optimization Technologies (SCOT) in New York, New York

Description

Amazon’s Supply Chain Optimization Technologies (SCOT) team is looking for talented Postdoctoral Scientists to join Amazon for a one-year, full-time research position. Postdoctoral Scientists will focus on solving research-intense business problems by exploring new research ideas, accelerating scientific innovation and impact, and publishing their work in peer-reviewed scientific venues. Postdocs will raise the scientific bar across Amazon by diving deep into exploratory areas of research to enhance the customer experience and improve efficiencies.

SCOT owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We decide how to place and move inventory in Amazon network and what do with our current inventory. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. We decide how to make delivery promises to our customers and how to meet those promises. Our systems are built entirely in-house, and are on the cutting edge of automated large-scale planning, execution and simulation technology. In SCOT, we are simultaneously pushing the frontier of the science of planning for new and old business use-cases and solving some of the toughest computational challenges. We are responsible for studying, designing, and building systems to suit Amazon’s needs and do not rely on existing off-the-self planning solutions. Our team members are on the forefront of thought leadership by working on the most challenging problems in the industry with some of the best minds in the business and academia. The ideal candidate has solid research experience broadly in the domain of mathematical sciences (operations research, statistics, ML, economics) or other closely related areas.

Key job responsibilities

  • Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements. Work closely with peripheral teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business.

  • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.

  • Publish your innovation in top-tier academic venues and hone your presentation skills.

  • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | New York, NY, USA

Basic Qualifications

  • PhD in a relevant field, received within 2 years of starting the Postdoc program at Amazon

  • Proven ability to perform independent research

  • Experience in data science and quantitative research

  • Proficiency in technologies relevant to the subfield

Preferred Qualifications

  • Ability to independently deliver results in a fast-paced environment

  • Publications at top-tier, peer-reviewed conferences and/or journals

  • Exceptional verbal and written communication skills

  • Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

  • Candidate has accepted tenure track position at a research university

Application Deadline: February 9, 2024

Required application materials:

  • CV, which lists all peer-reviewed publications/conferences and previous awards/grants received

  • Research statement that outlines your research achievements and future research interests

*A journal article or book chapter that demonstrates your domain expertise

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.

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