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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Intel Corporation - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Salary:** $190,650.0 - $269,150.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Computer Vision, Databases, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Design of User Interfaces, Python (Programming Language), PostgreSQL, MongoDB, MySQL, NoSQL, OpenCV, Parsing, Systems Development Life Cycle, Tensorflow, Software Requirements Analysis, Pytorch, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Deep Learning, Backend, Git, Fastapi, Information Technology, Deployment Automation, Data Analytics, Front End Software Development, Virtual Agents, Api Design, Streamlit Framework, Data Pipelines - **Published:** May 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=703299e924d06948 ## About the Role Do you have experience in Statistics?, Do you have a Master's degree?, * Excellent communication and collaboration skills with the ability to influence cross-functional stakeholders, and tolerance to ambiguity for quickly changing environments. Proactive and self-driven with minimum supervision., Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates., * Possess a bachelor's degree with 6+ years of relevant experience or master's degree with 5+ years of relevant experience or PhD degree with 3+ years of relevant experience in Computer Science or Data Science or any other Engineering discipline. * 2+ experience of years with LLMs and autonomous AI system development using multi-agent framework (e.g. LangChain, LangGraph, AutoGen etc.), and RAG pipeline development using vector database. * 2+ years of experience of applying AI/ML or agentic AI or deep learning/computer vision (e.g. PyTorch, TensorFlow, OpenCV), statistical methods to high volume data, and extracting insights to drive business decisions with quantifiable business impacts. * 2+ years of experience in Python programming for frontend and backend system pipeline development including data parsing, ETL pipelines, UI development framework for data visualization (e.g. Streamlit, Flask), database integration with relational (e.g. MySQL, PostgreSQL) or NoSQL database (e.g. MongoDB) or API development (e.g. FastAPI). Preferred Qualifications: * Prior knowledge/experience in manufacturing and/or semiconductor industry and applying AI/ML to solve yield problems. * Understanding on Intel package assembly manufacturing data landscape. * Expertise with Git for version control and CI/CD pipeline for automated deployment. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Job Type ## Description Advanced Packaging Technology and Manufacturing (APTM) Yield Organization is looking for a Data Scientist who will work for manufacturing data analysis, assembly yield modeling and AL/ML, agentic AI system development. Responsibilities will include: * Develop proof of concepts to demonstrate technical feasibility of predictive yield models and data analytics methodologies using AI/ML, agentic AI, and computer vision. * Define and architect AI agents for yield modeling and manufacturing data analytics use-case, including frameworks for agent orchestration, multi-agent coordination, RAG, system deployment and continuous improvements. * Work with yield analysts and business partners to understand manufacturing yield issues, and translate them into system requirements to deliver scalable solutions. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)