Applied Scientist, Amazon Supply Chain
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate. Must preserve all substantive info.
We need to parse the posting.
Content:
- Description: introductory paragraphs about AWS Applied AI Solutions, vision, mission, role description. This could be "About the role" maybe.
- Key job responsibilities: list bullet points.
- About The Team: description.
- About Aws Diverse Experiences: description.
- Why AWS: includes Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth.
- Basic Qualifications: list.
- Preferred Qualifications: list.
- Benefits: mention comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, link.
- Pay: base salary range listed: USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually.
- Schedule: not mentioned explicitly. No schedule info. So we should not create Schedule section.
- Skills: maybe we can extract from qualifications? But we have sections: Requirements, Qualifications, Skills. The posting has Basic Qualifications and Preferred Qualifications. Could map Basic Qualifications to Requirements? Or Qualifications? The instruction: use headings for About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which content goes where.
We have:
- About the role: could be the initial description paragraphs (vision, mission, what you'll do). Could also be "About The Team" but that's separate.
- Responsibilities: the "Key job responsibilities" list.
- Requirements: maybe Basic Qualifications.
- Qualifications: maybe Preferred Qualifications.
- Skills: maybe combine some skills from qualifications? Could also include communication skills etc. But we might not need Skills if content overlaps. However we should include only if there is real specific content. We have communication skills listed under Preferred Qualifications. Could put under Skills.
- Benefits: the paragraph about comprehensive benefits.
- Pay: salary range.
- Schedule: none -> omit.
We must not create sections with filler. So we will include About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay.
We need to ensure we preserve all substantive info, not invent or summarize away detail. Must not omit any substantive info. So we need to include all details from the posting except boilerplate (EEO, accommodation link, etc). Also we should keep the link to benefits? Probably we can keep as part of Benefits section.
We need to format lists with - . For prose use
.
We must not include markdown fences.
Let's extract content.
First, "Description" paragraphs:
"As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We are looking for an Applied Scientist to join our team that is building revolutionary enterprise applications leveraging machine learning, generative AI, and agentic AI to help millions of companies worldwide manage their day-to-day supply chain operations. Our mission is to accelerate our customers' businesses through intuitive, differentiated technology solutions that solve enduring supply chain challenges. We blend strategic vision with curiosity and Amazon's real-world operational experience to build opinionated, turnkey solutions that make the 'buy versus build' decision a no-brainer for our customers. As an Applied Scientist, you will design and develop state-of-the-art machine learning models and algorithms that power intelligent supply chain applications at global scale. You will work at the intersection of research and real-world product impact—translating scientific breakthroughs into production systems that serve millions of customers. We operate like a startup within AWS, offering you the opportunity to tackle unprecedented challenges while working with the latest technologies in deep learning, large language models, and optimization. If you are passionate about pushing the boundaries of applied science, thrive in ambiguous problem spaces, and want to shape the future of supply chain intelligence while having the backing of AWS's extensive resources, we want to hear from you."
That's the role description.
Next, "Key job responsibilities" bullet list:
- Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making, with guidance from senior scientists on novel problem spaces.
- Contribute to GenAI and Agentic AI solutions that automate supply chain workflows; implement model components, pipelines, and evaluation harnesses.
- Formulate well-scoped business problems as ML problems; define data requirements, model architectures, evaluation metrics, and experimentation plans.
- Drive applied science projects end-to-end — from prototyping through offline evaluation, A/B testing, and production deployment — with increasing autonomy.
- Publish research in top-tier conferences (NeurIPS, ICML, KDD, AAAI) and contribute to patent filings.
- Raise the technical bar through code reviews, design feedback, and knowledge-sharing sessions.
- Collaborate with engineering, product, and business stakeholders to translate scientific capabilities into customer-facing features; communicate results to technical and non-technical audiences.
- Stay current with state-of-the-art AI/ML research; identify and propose opportunities to apply emerging techniques to existing problems.
- Follow and contribute to best practices for experimentation, model validation, and responsible AI development.
Next, "About The Team" paragraph:
"The AWS Applied AI Solutions team builds enterprise applications that leverage Amazon's operational expertise to solve real-world supply chain challenges for millions of companies. We operate like a startup within AWS—moving fast, shipping iteratively using state-of-the-art AI technologies. We invest in your growth through mentorship from senior scientists, conference publication support, and internal science reading groups. Amazon values diverse experiences—even if you don't meet all preferred qualifications, we encourage you to apply. If your career hasn't followed a traditional path, don't let that stop you."
Next, "About Aws Diverse Experiences" paragraph:
"Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying."
Next, "Why AWS" includes several subpoints:
- Work/Life Balance: "We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud."
- Inclusive Team Culture: "Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness."
- Mentorship and Career Growth: "We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional."
These could be part of Benefits or maybe separate but we have Benefits section for benefits like health insurance etc. The Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth are more cultural aspects; could be placed under Benefits? But the instruction says Benefits section only if posting actually states them. It does state benefits like health insurance etc. The cultural aspects could be considered part of Benefits? Might be better to include them under Benefits as they are part of the offering. However we also have a separate Benefits paragraph later: "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."
Thus we have both cultural and tangible benefits. We could combine them in Benefits section.
Next, Basic Qualifications list:
- PhD in computer science, computer engineering, or related field
- Experience applying theoretical models in an applied environment
- Experience implementing algorithms using both toolkits and self-developed code
- Experience building machine learning models or developing algorithms for business application
- Experience with or exposure to generative AI, large language models (LLMs), or agentic AI systems (e.g., multi-step reasoning, tool-use, autonomous workflow orchestration).
Next, Preferred Qualifications list:
- Experience with demand forecasting, time-series modeling, or supply chain optimization.
- Hands-on experience building agentic AI pipelines — including prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration.
- Experience designing and analyzing A/B tests at scale.
- Demonstrated ability to translate ambiguous business problems into well-defined ML solutions.
- Publications in top-tier conferences (NeurIPS, ICML, KDD, AAAI) or equivalent venues.
- Experience working with large-scale distributed systems (e.g., Spark, AWS services).
- Strong written and verbal communication skills; ability to present technical work to non-technical stakeholders.
Next, Pay: "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, Seattle - 142,800.00 - 193,200.00 USD annually"
Note: The benefits paragraph appears again in Pay section; but we already have Benefits section. We should not duplicate. We'll keep Benefits section with the comprehensive benefits description (including health insurance etc). The Pay section should include salary range and mention sign-on payments and RSUs. The benefits mention could be omitted from Pay to avoid duplication, but we need to preserve all substantive info. If we omit the benefits mention from Pay, we still have it in Benefits section, so it's preserved. The Pay section should include: base salary range, sign-on payments, RSUs, final compensation determination factors. Also location: USA, WA, Seattle.
We should not include the link to benefits in Pay; we can keep it in Benefits.
Now, we need to decide headings.
We have:
- About the role: use the initial description paragraphs (maybe combine with About The Team? But About The Team is separate; could be part of About the role? The instruction says About the role heading for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should put the role description under About the role. The About The Team could be considered part of About the role or maybe we could put under About the role as well. But we have also "About Aws Diverse Experiences" which is similar. Could combine them under About the role. However we might risk losing some nuance. But we can include them as paragraphs under About the role.
Alternatively, we could create a separate section like "About the team" but not allowed headings. So we must fit
. We must not include markdown fences. Let's extract content. First, "Description" paragraphs: "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We are looking for an Applied Scientist to join our team that is building revolutionary enterprise applications leveraging machine learning, generative AI, and agentic AI to help millions of companies worldwide manage their day-to-day supply chain operations. Our mission is to accelerate our customers' businesses through intuitive, differentiated technology solutions that solve enduring supply chain challenges. We blend strategic vision with curiosity and Amazon's real-world operational experience to build opinionated, turnkey solutions that make the 'buy versus build' decision a no-brainer for our customers. As an Applied Scientist, you will design and develop state-of-the-art machine learning models and algorithms that power intelligent supply chain applications at global scale. You will work at the intersection of research and real-world product impact—translating scientific breakthroughs into production systems that serve millions of customers. We operate like a startup within AWS, offering you the opportunity to tackle unprecedented challenges while working with the latest technologies in deep learning, large language models, and optimization. If you are passionate about pushing the boundaries of applied science, thrive in ambiguous problem spaces, and want to shape the future of supply chain intelligence while having the backing of AWS's extensive resources, we want to hear from you." That's the role description. Next, "Key job responsibilities" bullet list: - Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, anomaly detection, and supply chain decision-making, with guidance from senior scientists on novel problem spaces. - Contribute to GenAI and Agentic AI solutions that automate supply chain workflows; implement model components, pipelines, and evaluation harnesses. - Formulate well-scoped business problems as ML problems; define data requirements, model architectures, evaluation metrics, and experimentation plans. - Drive applied science projects end-to-end — from prototyping through offline evaluation, A/B testing, and production deployment — with increasing autonomy. - Publish research in top-tier conferences (NeurIPS, ICML, KDD, AAAI) and contribute to patent filings. - Raise the technical bar through code reviews, design feedback, and knowledge-sharing sessions. - Collaborate with engineering, product, and business stakeholders to translate scientific capabilities into customer-facing features; communicate results to technical and non-technical audiences. - Stay current with state-of-the-art AI/ML research; identify and propose opportunities to apply emerging techniques to existing problems. - Follow and contribute to best practices for experimentation, model validation, and responsible AI development. Next, "About The Team" paragraph: "The AWS Applied AI Solutions team builds enterprise applications that leverage Amazon's operational expertise to solve real-world supply chain challenges for millions of companies. We operate like a startup within AWS—moving fast, shipping iteratively using state-of-the-art AI technologies. We invest in your growth through mentorship from senior scientists, conference publication support, and internal science reading groups. Amazon values diverse experiences—even if you don't meet all preferred qualifications, we encourage you to apply. If your career hasn't followed a traditional path, don't let that stop you." Next, "About Aws Diverse Experiences" paragraph: "Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying." Next, "Why AWS" includes several subpoints: - Work/Life Balance: "We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud." - Inclusive Team Culture: "Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness." - Mentorship and Career Growth: "We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional." These could be part of Benefits or maybe separate but we have Benefits section for benefits like health insurance etc. The Work/Life Balance, Inclusive Team Culture, Mentorship and Career Growth are more cultural aspects; could be placed under Benefits? But the instruction says Benefits section only if posting actually states them. It does state benefits like health insurance etc. The cultural aspects could be considered part of Benefits? Might be better to include them under Benefits as they are part of the offering. However we also have a separate Benefits paragraph later: "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." Thus we have both cultural and tangible benefits. We could combine them in Benefits section. Next, Basic Qualifications list: - PhD in computer science, computer engineering, or related field - Experience applying theoretical models in an applied environment - Experience implementing algorithms using both toolkits and self-developed code - Experience building machine learning models or developing algorithms for business application - Experience with or exposure to generative AI, large language models (LLMs), or agentic AI systems (e.g., multi-step reasoning, tool-use, autonomous workflow orchestration). Next, Preferred Qualifications list: - Experience with demand forecasting, time-series modeling, or supply chain optimization. - Hands-on experience building agentic AI pipelines — including prompt engineering, retrieval-augmented generation (RAG), and multi-agent orchestration. - Experience designing and analyzing A/B tests at scale. - Demonstrated ability to translate ambiguous business problems into well-defined ML solutions. - Publications in top-tier conferences (NeurIPS, ICML, KDD, AAAI) or equivalent venues. - Experience working with large-scale distributed systems (e.g., Spark, AWS services). - Strong written and verbal communication skills; ability to present technical work to non-technical stakeholders. Next, Pay: "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, Seattle - 142,800.00 - 193,200.00 USD annually" Note: The benefits paragraph appears again in Pay section; but we already have Benefits section. We should not duplicate. We'll keep Benefits section with the comprehensive benefits description (including health insurance etc). The Pay section should include salary range and mention sign-on payments and RSUs. The benefits mention could be omitted from Pay to avoid duplication, but we need to preserve all substantive info. If we omit the benefits mention from Pay, we still have it in Benefits section, so it's preserved. The Pay section should include: base salary range, sign-on payments, RSUs, final compensation determination factors. Also location: USA, WA, Seattle. We should not include the link to benefits in Pay; we can keep it in Benefits. Now, we need to decide headings. We have: - About the role: use the initial description paragraphs (maybe combine with About The Team? But About The Team is separate; could be part of About the role? The instruction says About the role heading for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should put the role description under About the role. The About The Team could be considered part of About the role or maybe we could put under About the role as well. But we have also "About Aws Diverse Experiences" which is similar. Could combine them under About the role. However we might risk losing some nuance. But we can include them as paragraphs under About the role. Alternatively, we could create a separate section like "About the team" but not allowed headings. So we must fit