Geospatial Data Analyst

Company Description

Vertify.earth is building a digital reporting, monitoring, and verification ("MRV") tool to measure nature-related projects. Our prototype has helped clients understand the carbon content of forest biomass and we are working on a tool to deliver the same for soils (see soilify.earth). We have offices in Zurich and Mumbai and are known in India as Earth Analytics India Pvt Ltd.

Role Description

• We are seeking a remote sensing data scientist to contribute to our teams efforts in spatial modeling and monitoring of above-ground biomass and carbon sequestration across our project and product portfolio.
• Your responsibilities will include researching, developing, and applying state-of-the-art models, algorithms, and techniques to analyze earth observation data. The focus will be on assessing and predicting vegetation patterns and dynamics within the context of biomass. This role provides opportunities to work on new application developments and advance existing projects related to illegal logging detection, afforestation monitoring, carbon estimations, and biodiversity identification.
• Additionally, you will collaborate in European working groups and MRV collectives to shape the future of accurate, transparent, and scalable biomass assessments. Your involvement will extend to advising partners and clients on best practices, including certification.
• This is a remote role that will require you to perform day-to-day tasks such as analyzing data, implementing MRV protocols, and verifying baseline data using geospatial datasets. Additionally, you will work with our team to develop tools and processes for streamlining MRV data collection and improving overall accuracy in project reporting.

Qualifications

• Some 2 years of experience in vegetation remote sensing, preferably in forest and/or agroforestry systems
• Minimum of 1 year of applied knowledge in above-ground biomass assessments and modeling
• Strong, practical expertise in spatial modeling, statistical analysis, and machine learning
• Proficient programming skills in Python, and ideally, familiarity with Google Earth Engine (JavaScript)
• Previous experience with QGIS and cloud-based computing platforms is advantageous
• Knowledge of carbon standards and certification processes is a plus
• Preferably, experience in agile project management
• Demonstrated pragmatic problem-solving skills and a proactive approach
• Reliable, with the ability to work both independently and collaboratively within a diverse team
• Enthusiastic about making a positive social and environmental impact!

Remuneration:

₹40,000.00 - ₹70,000.00 per month

Benefits:

• Flexible schedule
• Work from home

If you are interested in this exciting opportunity, please submit your resume and cover letter.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.