You will be working as a Freelance Data Scientist / NLP Engineer specializing in Text Analytics & Sentiment Analysis for a period of 4 months. The company you will be working with is a global business with 12 offices across four continents, serving over 230 luxury clients. **Key Responsibilities:**
Analyze business needs and define use cases for text analytics (e.g., customer feedback, support tickets, survey responses). - Collect, clean, and prepare structured and unstructured text data in Snowflake. - Design, train, and evaluate NLP models, including:
Sentiment analysis
Text classification
Keyword extraction / topic modeling
Develop processing workflows. - Deploy models within the Snowflake environment using Snowpark / UDF / UDTF. - Create documentation and provide knowledge transfer to internal teams. **Qualifications Required:**
Strong expertise in NLP / Text Analytics (Python, spaCy, Hugging Face, Transformers, etc.)
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, ideally MLflow)
Experience with data pipelines and orchestration tools (Airflow, dbt, Prefect, etc., depending on internal stack)
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
(Note: No additional details about the company were provided in the job description) You will be working as a Freelance Data Scientist / NLP Engineer specializing in Text Analytics & Sentiment Analysis for a period of 4 months. The company you will be working with is a global business with 12 offices across four continents, serving over 230 luxury clients. **Key Responsibilities:**
Analyze business needs and define use cases for text analytics (e.g., customer feedback, support tickets, survey responses). - Collect, clean, and prepare structured and unstructured text data in Snowflake. - Design, train, and evaluate NLP models, including:
Sentiment analysis
Text classification
Keyword extraction / topic modeling
Develop processing workflows. - Deploy models within the Snowflake environment using Snowpark / UDF / UDTF. - Create documentation and provide knowledge transfer to internal teams. **Qualifications Required:**
Strong expertise in NLP / Text Analytics (Python, spaCy, Hugging Face, Transformers, etc.)
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, ideally MLflow)
Experience with data pipelines and orchestration tools (Airflow, dbt, Prefect, etc., depending on internal stack)
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
(Note: No additional details about the company were provided in the job description)