# Senior Applied Scientist, Amazon Business - External Integrations Source: https://realanalystjobs.com/job/senior-applied-scientist-amazon-business-external-integrations-amazon-531ec378 Senior Applied Scientist, Amazon Business - External Integrations at Amazon, an on-site role based in Hyderabad, India. Experience level: 8+ Years. Posted on 28 October 2026, read from Amazon's own careers page (Amazon), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Amazon](https://realanalystjobs.com/companies/amazon) - Location: Hyderabad, India - Work mode: On-site - Posted: Oct 28, 2026 - Employment type: Full time - Experience level: 8+ Years - Source: Amazon's careers page (Amazon), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), Spark, [R](https://realanalystjobs.com/skills/r) ## Visa sponsorship The posting does not say. Amazon had H-1B petitions approved for 12,010 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amazon#h1b-record) ## About this role Amazon Business System Integrations connects Amazon Business with millions of business users and thousands of partner procurement, ERP, and finance systems. We build the APIs, protocols, and agentic experiences that let customers buy on Amazon Business directly from the systems they already use. As an Applied Scientist on this team, you will own and advance the ML and GenAI capabilities that make these integrations smarter, faster, and more reliable. You will drive model accuracy, scientific innovation, and global scale across external systems integrations. Our work includes API-based and protocol-based shopping, such as punchout and emerging agent protocols, along with agentic interactions where buyers and AI agents search, compare, and purchase through natural language. It also covers partner onboarding and integration automation, mapping and normalizing catalog, product, and order data across many partner formats, and evaluation frameworks that measure the quality, accuracy, and latency of our agents. Key job responsibilities As an Applied Scientist on this team, you will work across three dimensions: Invent, Implement, and Influence. Invent: You bring deep domain knowledge and fluency with state-of-the-art scientific approaches and emerging research. You practice customer-obsessed science, working backwards from the needs of business buyers, procurement teams, and integration partners to extend or invent new ML approaches, even when no textbook solution exists. You design novel ML and LLM-based methods for agentic shopping, product search and matching, schema and data mapping across partner systems, and automated evaluation of agent quality. You help define the research agenda for our agentic and protocol-based capabilities, and you lead the scientific strategy for accurate, low-latency responses in conversational and API-driven procurement. You author or co-author articles for internal or external peer-reviewed venues when appropriate and not precluded by business considerations. Implement: The ML components you develop are integrated directly into production systems serving Amazon Business customers and partners worldwide. You make sound tradeoffs between accuracy and latency, innovation and stability, and short-term and long-term solutions, favoring reuse and established frameworks where appropriate. You make progress semi-autonomously with only occasional guidance, implement at the right level of complexity the first time, and evaluate emerging technologies, including LLMs and GenAI frameworks, largely on your own. You ensure your models and pipelines integrate robustly with catalog, offer, cart, order, and partner data sources and with the services that power external integrations. Influence: You contribute to planning for the team, including goals, priorities, and roadmaps for ML and GenAI capabilities. You lead the scientific strategy for expanding agentic and integration capabilities across new partners, protocols, and countries. You collaborate with engineering, product, and program teams across Amazon Business so that data integration and ML pipelines are robust and scale with adoption. You mentor scientists and engineers, champion best practices for the AI-Driven Development Life Cycle (AIDLC), and provide peer feedback on research methods and results. You help recruit bar-raising talent through interview drives, and you are visible in the broader scientific community as a subject matter expert, including serving as a Program Committee member or reviewer for peer-reviewed venues. Basic qualifications - PhD, or Master's degree and 8+ years of applied research experience - Experience programming in Java, C++, Python or related language Preferred qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. null Description from Amazon's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-applied-scientist-amazon-business-external-integrations-amazon-531ec378) and use Apply now there to reach the employer's application. The listing is re-checked against Amazon's careers page daily and removed when it closes. ## Amazon 583 open analyst roles on Real Analyst Jobs. [More roles at Amazon](https://realanalystjobs.com/companies/amazon) ## More like this ### Other open roles at Amazon - [Business Analyst, S3P Fee](https://realanalystjobs.com/job/business-analyst-s3p-fee-amazon-560637ba), Bengaluru, India (On-site) - [Senior Financial Analyst, Platform Experience Finance Team](https://realanalystjobs.com/job/senior-financial-analyst-platform-experience-finance-team-amazon-e16a1a68), Seattle Washington, USA (On-site) - [Relocation to Spain - Senior Financial Analyst, AWS DC Finance](https://realanalystjobs.com/job/relocation-to-spain-senior-financial-analyst-aws-dc-finance-amazon-45ee3c1c), Comuna De Providencia, Chile - [Senior Financial Analyst, Global Procurement Finance](https://realanalystjobs.com/job/senior-financial-analyst-global-procurement-finance-amazon-68ecbe15), Luxembourg - [Analista de Dados (Control Tower) , CGH7 - Control Tower](https://realanalystjobs.com/job/analista-de-dados-control-tower-cgh7-control-tower-amazon-a4424768), Cajamar, Brazil - [Data analyst jobs in India](https://realanalystjobs.com/jobs/data-analyst-jobs-in-india) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-applied-scientist-amazon-business-external-integrations-amazon-531ec378) - [Amazon on Real Analyst Jobs](https://realanalystjobs.com/companies/amazon) - [All analyst jobs](https://realanalystjobs.com/jobs)