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# Data Scientist, Senior-Level

- **Company:** Globant
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Software Quality, Code Review, Data Governance, Distributed Systems, Python (Programming Language), Machine Learning, SQL Databases, Management of Software Versions, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Pyspark, Data Management, Machine Learning Operations
- **Published:** September 25, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pmvzxcpzwa

## About the Role

* Fluent English (B2 - Upper Intermediate or higher), with confidence to communicate, present demos, and collaborate with global stakeholders.
 * 5+ years of experience as a Data Scientist, with a strong technical leadership background, code quality mindset, and end-to-end product ownership.
 * Solid Core Fundamentals: Strong background in mathematics, statistics, Python, SQL, and data science fundamentals.
 * Hands-on ML & Distributed Pipelines: Proven experience building, deploying, and monitoring end-to-end Machine Learning products in production, with practical expertise in distributed environments (PySpark) and MLOps (model drift, versioning, automated retrain pipelines).
 * Generative AI & Agentic Systems (Key Advantage): Practical exposure or strong architectural knowledge in LLMs, RAG, prompt engineering, and autonomous agent frameworks (e.g., LangChain, LangGraph, crewAI).
 * Business Context & Data Governance: Ability to bridge technical solutions with business needs, assisting with backlog refinement, data quality, and data stewardship in regulated enterprise environments.
 * Technical Advisory & Mentorship: Ability to act as a technical reference for clients while mentoring junior team members through code reviews, standard definitions, and engineering best practices.



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