Data Scientist (Text Analytics) - 4 months contract

Strong expertise in NLP / Text Analytics (Python, spaCy, Hugging Face, Transformers). Proven experience building sentiment analysis and text classification models. Solid knowledge of Snowflake, including: Snowpark (Python), Development of UDF/UDTF functions, Integration with external stages & warehouses. Proficiency in Python (pandas, numpy, scikit-learn, MLflow). Experience with data pipelines and orchestration tools (Airflow, dbt, Prefect). Understanding of MLOps practices (CI/CD, model versioning, monitoring). Ability to work independently and structure deliverables. Strong communication and documentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders.

Analyze business needs and define use cases for text analytics. Collect, clean, and prepare structured and unstructured text data in Snowflake. Design, train, and evaluate NLP models (Sentiment analysis, Text classification, Keyword extraction/topic modeling). Develop processing workflows. Deploy models within the Snowflake environment (Snowpark / UDF / UDTF). Create documentation and provide knowledge transfer to internal teams.