Senior Data Analyst - Hybrid
Tasks
- Architect and maintain data pipelines
- Build CLI utilities and automation scripts
- Build ETL/ELT workflows
- Build predictive analytics and anomaly detection
- Collaborate with stakeholders and communicate insights
- Conduct geospatial analysis for route planning
- Create dashboards and geospatial visualizations
- Develop machine learning models
- Develop spatial data models and mapping workflows
- Develop web applications and APIs
- Ensure data quality and integrity
- Integrate Large Language Models into workflows
- Optimize data storage and retrieval
- Perform code reviews, testing, and debugging
- Perform model validation and benchmarking
Perks/Benefits
Skills/Tech-stack
Command Line | Command-line Interface | Data Pipelines | Data Quality | ELT | ETL | Earth Engine | FastAPI | Flask | GIS | Geopandas | Geospatial analysis | Google Earth | Google Earth Engine | LLM | Machine Learning | NumPy | Pandas | Prompt engineering | PyTorch | Python | QGIS | REST APIs | Retrieval-Augmented Generation | Scikit-learn | Statistical Analysis | Streamlit | TensorFlow
Education
N/A
Roles
Analyst | Data Analyst | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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