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# Principal Data Scientist

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Python (Programming Language), Machine Learning, Software Deployment, Google Cloud, Large Language Models, Prompt Engineering, Apache Spark, Serverless Computing
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d6dc47d24dcb11e2

## About the Role

Must Haves: 3-5 years of enterprise Data Science experience
Masters Degree (Statistics, Data Science, Economics, etc)
Python or R
Cloud (AWS is preferred but will take Azure/Google Cloud Platform), * PhD or Masters degree in Statistics, Economics, Data Science, or a related field.

 * 3-5 years of experience working with cloud-based machine learning platforms (e.g., AWS, Google Cloud Platform, or Azure), including hands-on experience with tools such as model orchestration, serverless compute, and cloud data services.
 * Proficiency in Python (preferred) or R, Spark, and other modern data science tools.
 * Working knowledge of Large Language Models (e.g., Llama, Claude, Titan), including experience with LangChain-style frameworks, vector databases, embeddings, and prompt engineering.

## Description

* Partner with product leadership to manage the full AI development lifecycle, including requirements gathering, data sourcing, model development, proof-of-concept builds, risk reviews, and production deployment across on-premises and cloud environments.
 * Demonstrate strong ownership and self-discipline in managing project activities, maintaining clear communication with leadership, seeking guidance when needed, and proactively escalating risks, blockers, or resource needs.
 * Apply automation techniques to streamline manual processes, improve accuracy and productivity, and build reusable, scalable self-service tools and assets.
 * Stay up-to-date on emerging AI, machine learning, and cloud technologies, driving innovation by evaluating and integrating new capabilities into workflows and products.


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