Senior Data Scientist
Tasks
- Analyze agronomic decision impact
- Build GIS based analyses
- Build crop yield predictive models
- Collaborate with software development
- Collect IoT scale agricultural data
- Construct machine learning pipelines
- Create decision support systems
- Develop optimization algorithms
- Perform data imputation
- Preprocess agricultural data
- Produce data visualizations
- Validate and evaluate models
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon EC2 | Amazon S3 | Bayesian MCMC | Combinatorial Optimization | Data Imputation | Ensemble learning | GIS | H2O | JAGS | Linux | MILP | Machine Learning | Metaheuristics | Model Validation | NoSQL | Python | R | Regression | SQL | Spark | Stan
Education
Roles
Regions
Countries
States
Cities
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