Verra

Senior Program Officer, Geospatial Data Science

Verra

full-time

Posted on:

Location Type: Remote

Location: Remote • 🌎 Anywhere in the World

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Salary

💰 $100,000 - $110,000 per year

Job Level

Senior

Tech Stack

PythonRemote SensingScikit-Learn

About the role

  • Identify and evaluate remote sensing data (optical and radar satellite imagery, LiDAR) that are most suitable for forest carbon-related methodologies and projects.
  • Support geospatial information and remote sensing components of all forest carbon methodologies, with a particular focus on the consolidated REDD methodology (VM0048), and, together with the technology solutions team, support integration with the long-term monitoring system and digital measurement, reporting, and verification (DMRV).
  • Develop innovative tools to support project reviews, validation/verification body (VVB) assessments, and methodology development.
  • Coordinate with contractors to ensure timely and accurate delivery of data, foster effective communication channels, and adherence to project requirements.
  • Organize and manage geospatial datasets effectively, implement systematic data storage and retrieval procedures to facilitate seamless access and analysis for forest carbon methodology development and improvement initiatives.

Requirements

  • A university degree in Forest Science, GIS, Remote Sensing, Geography, or a related field is advantageous, as is an advanced degree.
  • At least three years of professional experience in GIS/remote sensing or data science, with a focus on analyzing remote sensing data, developing automated geospatial tools, and modeling.
  • Familiarity with fundamental statistical techniques and terminology.
  • Knowledge and experience in Python and related geospatial and data science libraries such as rioxarray, GeoPandas, GDAL, Scikit-Learn, etc. required.
  • Working experience with Git is an advantage.
  • Familiarity with climate change mitigation; GHG accounting; forest reference levels estimation; MRV design; forest carbon methodologies, standards, and crediting programs; and REDD+ processes/initiatives (e.g., UNFCCC, Forest Carbon Partnership Facility).
  • Skill at prioritizing and working under tight deadlines and the ability to coordinate across teams; Demonstrated enthusiasm for learning new technologies and approaches in RS/GIS; a commitment to staying knowledgeable of industry developments and best practices.
  • A track record of developing and maintaining strong working relationships with various stakeholders.
  • Excellent written and verbal communication skills; fluency in English is essential.
Benefits
  • Medical, vision + dental care, and life insurance
  • Verra's contributions to each staff member's retirement plan/pension scheme, with employee and employer contributions
  • Paid leave, comprising 22-30 days of vacation, 7 days of annual sick leave, holidays, and a sabbatical after five years of service
  • Funds to support professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
remote sensingGISdata sciencestatistical techniquesPythonrioxarrayGeoPandasGDALScikit-Learnautomated geospatial tools
Soft skills
communicationcoordinationprioritizationtime managemententhusiasm for learningrelationship buildingteam collaborationadaptabilityproblem-solvingattention to detail