Data Scientist - LLM & Time Series Analysis

Who are we?

Our mission is to create powerful, data-driven applications and models that help our clients innovate and grow.

We are looking for an experienced Data Scientist to join our team, focusing on developing and implementing LLM (Large Language Models) based solutions for categorization and analysis of time series data. Ultimately, you will combine expertise in natural language processing with a deep understanding of time series data analysis.

• Developing and implementing LLM-based solutions for automatic categorization and classification of time series data
• Performing fine-tuning of large language models to adapt them for specific time series-related tasks
• Working with various data sources and complex time series
• Developing performance metrics and evaluation methods for models
• Research and adopt advanced methods in the field of LLMs and time series analysis

• Proven experience of at least 3 years working as a Data Scientist with large language models (LLMs) - a must.
• Practical experience in fine-tuning and adapting LLMs for specific tasks - a must.
• Significant experience working with time series data and analysis techniques - a must.
• In-depth knowledge of Python and libraries for data processing and modeling (such as pandas, numpy, scikit-learn) - a must.
• Familiarity with technologies and libraries in the field of NLP and LLMs (such as Hugging Face, PyTorch, TensorFlow) - a must.
• Academic degree in a relevant field (Computer Science, Data Science, Mathematics, or similar) - a must.
• Security clearance - an advantage.

This job is not hybrid.