Data Scientist

Collaborate with domain experts to understand requirements and translate them into actionable data science tasks 

Learn from industry experts already at DTN 

Conduct exploratory data analysis to identify trends, patterns, and anomalies in relevant datasets, including weather and Earth-observing satellite data, data from weather, energy, and agricultural modeling systems, and data from governmental sources such as the USDA, DOE, EIA, NOAA, and NASA 

Identify and implement novel ways of integrating varied informational resources to fill in critical gaps in the data that are available for solving a particular problem 

Develop and implement innovative machine learning models for classification, localization, prediction, and change detection 

Develop data visualization tools and dashboards to communicate findings and insights to stakeholders 

Apply satellite data in combination with other data resources and models to extract meaningful insights related to weather, agriculture, and energy 

Conduct spatiotemporal analyses and build models to identify and forecast weather-related risks such as droughts, floods, and storms 

Stay updated with the latest advancements in satellite imagery analysis, machine learning, and data science techniques