CXG
Consulting • Fashion • Retail
CXG is a global Customer Experience Consulting and Services firm, specializing in serving premium and luxury brands. They offer comprehensive solutions to transform customer experiences through four main practices: Customer Insights, CX Measurement, Academy, and Consulting and Transformation. CXG provides strategy and journey design to maximize customer value and engage clients through omnichannel experiences. With a focus on market trends, customer behavior, and effective training, they have worked with over 230 premium and luxury brands worldwide in sectors like fashion, cosmetics, and hospitality.
51 - 200 employees
Founded 2006
👗 Fashion
🛒 Retail
Data Scientist, Text Analytics – 4 months contract
November 18
CXG
Consulting • Fashion • Retail
CXG is a global Customer Experience Consulting and Services firm, specializing in serving premium and luxury brands. They offer comprehensive solutions to transform customer experiences through four main practices: Customer Insights, CX Measurement, Academy, and Consulting and Transformation. CXG provides strategy and journey design to maximize customer value and engage clients through omnichannel experiences. With a focus on market trends, customer behavior, and effective training, they have worked with over 230 premium and luxury brands worldwide in sectors like fashion, cosmetics, and hospitality.
51 - 200 employees
Founded 2006
👗 Fashion
🛒 Retail
📋 Description
• 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 (Snowpark / UDF / UDTF). • Create documentation and provide knowledge transfer to internal teams.
🎯 Requirements
• 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
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