Data Scientist - Environment and Disease Modeling
Tasks
- Align modeling methods with platform architecture and data standards
- Build predictive models for environment and disease incidence and severity
- Communicate model outputs through dashboards and reports to stakeholders
- Curate and validate datasets for model training
- Develop reproducible scalable data pipelines for ingestion QC modeling and visualization
- Integrate climate layers remote sensing and field metadata
- Integrate weather soil and agronomic data into disease progression models
- Translate phenotypic disease observations into quantitative traits
- Use geospatial data to characterize stress landscapes
Perks/Benefits
- Company 401k match
- Education assistance
- Flexible work options
- Maternity and paternity leave
- Medical, dental, and vision
- Paid Holidays
- Paid vacation
- Profit sharing
- Retirement savings contribution
- Wellness programs
Skills/Tech-stack
Cloud Computing | Data Pipeline Development | Data Quality | Data Visualization | Data pipeline | Data quality control | Geographic Information Systems | Geographic information | Information Systems | Machine Learning | Mixed Models | Pipeline Development | Python | Quality Control | R | Remote Sensing | SQL | Spatial Interpolation | Spatiotemporal modeling | Statistical modeling | Survival analysis | Version control
Education
Roles
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