UN Women, Data Scientist - Gender Data Lab (mis(e) à la disposition de l'ANSD), Dakar, Senegal.
Tasks
- Assess functional and technical requirements for Gender Data Lab
- Build data preparation transformation and exploitation pipelines
- Build intelligent search and data driven response generation
- Create and maintain chatbot knowledge base
- Define AI use cases
- Design analytical indicators summary tables and decision support methods
- Develop automated analysis synthesis and interpretation models
- Document models datasets processing methods and validation procedures
- Evaluate model performance and improve continuously
- Implement AI components including intelligent user chatbot
- Integrate AI features with web and database components
- Support pilot and user capacity building
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Algorithmic Bias Reduction | Algorithmic bias | Apache Spark | Azure | Bias reduction | DVC | Dask | Data Governance | Data Privacy | Deep learning | DevOps | Docker | ELT | ETL | FastAPI | GCP | Generative AI | Git | GraphQL | Kafka | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Matplotlib | NLP | NoSQL | NumPy | Pandas | Plotly | Predictive Modeling | Python | REST API | Relational databases | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Statistical Analysis | Streamlit | Vector Database
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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