2026 Summer Data Scientist Intern- Master's (Santa Clara, CA)
About The Position
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.
Requirements
- 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
- Currently pursuing a master's degree in computer science, data science, or another quantitative field
- GPA 3.0 or above preferred
Nice To Haves
- 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
Responsibilities
- Perform exploratory data analysis on large datasets
- Design and improve dashboards and reports in Tableau /Power BI to visualize metrics and trends
- Build and implement advanced statistical and machine learning models using Python
- Write/optimize SQL to extract and join data from multiple sources
- Work on GenAI and LLM projects
- Develop, train, and validate machine learning models
- Support model implementation by packaging code, running tests, and helping with deployment steps
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What This Job Offers
Career Level
Intern
