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# Data Science Engineer

- **Company:** Ai-native
- **Location:** Wien, Austria
- **Experience:** Experienced
- **Salary:** €45,738.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Databases, Relational Databases, Cursor, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Tensorflow, Standard Sql, Google Cloud, Information Technology, Claude, Decoding
- **Published:** October 1, 2026
- **Apply:** https://www.studentjob.at/stellenangebote/8792319-data-science-engineer-f-m-d

## About the Role

* Bachelor's degree (or higher) in Computer Science, Statistics, Mathematics or related fields
 * 3+ years of experience in developing, deploying and scaling machine learning models to production
 * Experience with NLP or other machine learning technologies, machine learning techniques and tools like Torch or Tensorflow
 * Good experience in working with Python and Scala
 * Knowledge of SQL and relational databases
 * Strong problem-solving skills, comfortable with ambiguity and open-ended questions
 * End-to-end ownership, from prototyping a model to deploying and monitoring it in production

Nice to have:

 * Master's degree in a related field
 * Understanding of cloud-based services, especially Google Cloud Platform or AWS
 * Knowledge of NoSQL database systems
 * Knowledge of agile software development techniques
 * Experience with agent engineering and AI tools like Cursor, Claude etc.

## Description

* Decode the data- Leverage natural language processing (NLP) to extract meaning from diverse datasets.
 * Think like a scientist- Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities.
 * Build smarter AI- Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow.
 * Bridge research & reality- Transform cutting-edge algorithms into production-ready solutions.
 * Keep models sharp- Monitor, enhance, and continuously improve model performance and accuracy.
 * Expand the data universe- Identify and integrate new data sources to enrich our intelligence.
 * Collaborate & innovate- Work with cross-functional teams to tackle business challenges with data-driven solutions.