Spatial Data Scientist - Remote Sensing

56m56 minutes ago

CIFOR-ICRAF

Nairobi, KE · Full-time · KES 4,000,000 – KES 8,000,000

About this role

Join CIFOR-ICRAF as a Spatial Data Scientist specializing in remote sensing for geosciences and ecosystem assessment. Leverage optical and SAR data to analyze vegetation, precipitation, and land surface temperatures. Support initiatives like the Great Green Wall through analytical outputs.

Process optical data from Sentinel-2 and Landsat 8/9, alongside SAR primarily from Sentinel-1. Conduct timeseries analysis to detect trends and anomalies. Develop predictive models and apply machine learning for mapping ecosystem health using field and remote sensing data.

Supervise a team of junior spatial data scientists and developers. Work closely with the SHARED stakeholder engagement team to deliver monitoring outputs. Contribute to stakeholder events for decision support tools and platforms.

Lead internal capacity development seminars and partner workshops on spatial data processing. Contribute to micro-dashboard development for the Global Resilience Impact Tracker. Lead scientific papers, proposal development, and communication products.

Requirements

MSc degree in remote sensing and spatial data science with proven ability to conduct highly complex analytical tasks
Experience processing optical data from Sentinel-2 and Landsat 8/9
Experience processing SAR data primarily from Sentinel-1
Proficiency in timeseries analysis and predictive modeling of temporal data
Skills in machine learning applications for geospatial ecosystem assessment
Excellent interpersonal skills
Excellent written and spoken English

Responsibilities

Process and analyze optical data from sensors such as Sentinel-2 and Landsat 8/9
Process and analyze SAR data, primarily Sentinel-1
Conduct timeseries analysis including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures)
Develop predictive modeling of time series data including forecasting
Apply machine learning for predictive modeling and mapping of ecosystem health indicators using field data and remote sensing
Perform spatial data analysis tasks including spatial queries, vector data extraction, processing, and cleaning
Supervise a team of junior spatial data scientists and developers
Lead capacity development seminars within CIFOR-ICRAF and workshops for partners