Research Scientist, SCOT First Inbound
New York, NYResearch$157–213K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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At a glance
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Requirements
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Job overview
Amazon’s Supply Chain Optimization Technologies organization develops inventory management and supply chain planning systems. The Inbound Systems team seeks a Research Scientist to innovate in inbound placement and capacity management. The scientist will design and implement research projects, model and simulate new policies, and evaluate their effects on fulfillment-network cost, reliability, and speed, working with scientists, BI engineers, and product managers.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management 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 do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are automated large-scale business operations, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.
The Inbound Systems team within SCOT seeks a Research Scientist to innovate in SCOT inbound placement decision and capacity management systems. As a research scientist, you will use your experience to initiate the design, development, execution and implementation of scientific research projects. Working closely with fellow scientists, BI engineers and product managers, you will use your experience in modeling, statistics, and simulation to design models of new policies, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our fulfillment network. Our teams are looking for experience in network and combinatorial optimization, statistical inference, and machine learning. This position requires superior analytical thinking, and ability to apply their technical and statistical knowledge to identify opportunities for real world applications.
Basic Qualifications
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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Experience in quantitative field research
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Experience with any programming language such as Python, Java, C+Preferred Qualifications
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Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
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Experience in machine learning, statistics, and deep learning
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, NY, New York - 157,300.00 - 212,800.00 USD annually
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
How this job compares
Set against the 2,170 open Research Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$157–213K/yr
- New York median$102–142K/yr274 salary ranges
- US median$148–224K/yr1,447 salary ranges
This range's midpoint, $185K, is 50% above the New York median midpoint ($123K) — in the middle half of Research Scientist salary ranges in New York.
- Openings
- Olive Jobs lists 339 open Research Scientist jobs in New York and 2,170 across the US. 3% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- New York University47 open
- City of New York39 open
- Mount Sinai Health System31 open
- Experience
- Research Scientist postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 6 years (1,146 postings).
- Education
- This posting asks for a doctorate or professional degree; 774 of the 2,170 open Research Scientist jobs (36%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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