Data Analyst - Hybrid
Tasks
- Build ETL and ELT workflows
- Build internal web applications
- Build statistical algorithms
- Conduct predictive analytics and anomaly detection
- Create CLI utilities
- Create dashboards and visualizations
- Design and maintain data pipelines
- Develop REST APIs
- Develop automation workflows
- Develop machine learning models
- Document technical designs and workflows
- Ensure data quality and integrity
- Integrate large language models
- Optimize storage and processing
- Perform code reviews and testing
- Perform geospatial analysis
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Command Line | Command-line Interface | Data Engineering | Data Pipelines | ELT | ETL | Earth Engine | FastAPI | Flask | GIS | Generative AI | Geopandas | Geospatial analysis | Google Earth | Google Earth Engine | Language Models | Large Language Models | Machine Learning | NumPy | Pandas | Predictive Analytics | Prompt engineering | PyTorch | Python | QGIS | RAG | REST API | Retrieval-Augmented Generation | Scikit-learn | Statistical Analysis | Streamlit | TensorFlow
Education
N/A
Roles
Analyst | Data Analyst | Engineer | Learning Engineer | Machine Learning Engineer
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