Applied Materials · 9 hours ago
2026 Summer Data Scientist Intern- Master's (Austin, TX)
Austin, TX
Internship
Onsite
Intern
Start in 2026 SummerApplied Materials is a global leader in materials engineering solutions, and they are seeking a Data Scientist Intern to join their Supply Chain Analytics team. The role focuses on performing data analysis, designing dashboards, and implementing machine learning models to enhance supply chain processes and decision-making.
SemiconductorElectronicsSoftwareManufacturing
Responsibilities
Perform exploratory data analysis on large datasets
Design and improve dashboards and reports in Tableau /Power BI to visualize metrics and trends, driving data-backed decisions
Build and implement advanced statistical and machine learning models using Python (Pandas, NumPy, SciPy, and scikit-learn), with a focus on improving supply chain processes
Write/optimize SQL to extract and join data from multiple sources
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations
Develop, train, and validate machine learning models (e.g., clustering, similarity models, time-series forecasting, anomaly detection, recommendation systems) to solve complex supply chain challenges
Support model implementation by packaging code, running tests, and helping with deployment steps
Qualification
Required
Currently pursuing a master's degree in computer science, data science, or another quantitative field
GPA 3.0 or above preferred
In-depth understanding of supply chain management principles and practices
Strong SQL skills (joins, CTEs, window functions, performance basics)
Strong Python skills for data work (Pandas, NumPy, SciPy, scikit-learn)
Basic understanding of machine learning concepts and model evaluation (train/test, cross-validation, precision/recall, RMSE, bias/variance)
Familiarity with big data tools such as Databricks and Apache Spark (PySpark preferred)
Experience with data visualization tools (Tableau Desktop or Power BI)
Exposure to GenAI / LLMs and modern ML workflows (examples: prompt design, embeddings, model selection, basic fine-tuning concepts, evaluation)
Advanced working knowledge of Microsoft Excel
Perform exploratory data analysis on large datasets
Design and improve dashboards and reports in Tableau /Power BI to visualize metrics and trends, driving data-backed decisions
Build and implement advanced statistical and machine learning models using Python (Pandas, NumPy, SciPy, and scikit-learn), with a focus on improving supply chain processes
Write/optimize SQL to extract and join data from multiple sources
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations
Develop, train, and validate machine learning models (e.g., clustering, similarity models, time-series forecasting, anomaly detection, recommendation systems) to solve complex supply chain challenges
Support model implementation by packaging code, running tests, and helping with deployment steps
Preferred
GPA 3.0 or above preferred
Experience in supply chain topics (planning, inventory, logistics, procurement, reverse value chain)
Experience building end-to-end ML projects (data prep -> model -> evaluation -> deployment)
Experience with recommendation systems, similarity matching
Experience with Databricks ETL, ingestion pipelines
Public portfolio (GitHub, Kaggle, Tableau Public) showing applied projects
Relevant certifications (optional)
Benefits
Comprehensive benefits package
Participation in a bonus and a stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
Founded in 1967
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
CTO and Senior VP of Applied Materials; President of Applied Ventures
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
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