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# Data Science Engineer | Full-time, All Genders, Hybrid

- **Company:** THE GRECO GROUP, INC.
- **Location:** Belgrade, MT, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Analysis, Computer Vision, Microsoft Azure, Relational Databases, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Information Technology
- **Published:** July 21, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p61ogajsyx

## About the Role

* You bring strong knowledge of data science, with hands-on experience in machine learning and deep learning models and a solid foundation in mathematics
 * You understand statistical analysis and model evaluation techniques
 * You can communicate analytical results clearly and translate technical findings into business recommendations
 * Strong practical knowledge of Python and common data science libraries
 * Comfortable evaluating and monitoring AI output (accuracy, tracing tools such as LangSmith) and iterating to improve it.
 * Degree in Computer Science, Data Science or a related field - or equivalent practical experience.
 * Fluent English, both spoken and written

It would be great if you had:

 * Experience with cloud platforms, preferably Microsoft Azure
 * Knowledge of natural language processing, generative AI or document processing solutions
 * Experience with SQL and relational databases
 * German language

## Description

As a data science engineer, you'll help GrECo build AI into its insurance platform - from Claims AI, which reads incoming claim emails and documents and automatically classifies and extracts the key information, to retrieval-augmented assistants that answer questions over our document base. You'll own and extend these systems end-to-end, from prompt to production on Azure.

Embrace Growth and Shape the Future | Your Responsibilities:

 * Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, risks and opportunities that support business decision-making.
 * Document intelligence: Turn unstructured documents (PDF, Word, Excel, scans, email) into structured data using OCR / computer vision, NLP, and LLM extraction.
 * Machine Learning and Deep Learning: Develop, train, evaluate and optimize machine learning and deep learning models to solve complex business problems and support intelligent decision-making.
 * Prompt engineering: Design, test and iterate prompts; build evaluation and monitoring (accuracy, confidence calibration, tracing) to keep output reliable in production.
 * Model Evaluation and Improvement: Monitor model performance, validate assumptions and continuously improve analytical approaches and methodologies


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