Senior GIS Scientist

Terradot; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading company is seeking a GIS Scientist to enhance agricultural applications through spatial data analysis and geospatial workflows. The role involves collaboration with scientists and engineers to integrate spatial data for carbon assessments, requiring extensive GIS experience and a PhD in a related field.

Qualificações

• 5+ years applying GIS methodologies in agriculture.
• Proficiency with GIS software and data analysis tools.

Responsabilidades

• Lead geospatial projects and data collection.
• Design and implement soil and crop sampling plans.
• Support field scientists with GIS deliverables.

Conhecimentos

Project Management

Attention to Detail

Communication

Formação académica

PhD in GIS

PhD in Agricultural Sciences

PhD in Soil Science

Ferramentas

ArcGIS

QGIS

Google Earth Engine

Descrição da oferta de emprego

Languages: Portuguese and English required.

We are seeking a GIS Scientist with extensive experience in agricultural applications to join our team and help scale our impact. As a GIS Scientist, you will lead spatial data analysis, design geospatial workflows, and support our field and science teams with high-quality GIS deliverables. This role demands a thorough understanding of geospatial analysis in agricultural landscapes, including data collection, remote sensing, and spatial modeling. You will collaborate closely with scientists, operations teams, and engineers to ensure our MRV platform effectively integrates spatial data for accurate carbon assessments.

Key Responsibilities:

1. Lead geospatial projects, including farmer data collection and counterfactual scenario modeling.
2. Design and implement soil, crop, and water sampling plans, integrating them into our platform.
3. Perform QA/QC on farm management records, spatial data, and field polygon integrity within the platform.
4. Retrieve, process, and analyze weather station data to support carbon quantification methodologies.
5. Manage soil databases for specific applications, including sample tracking and verification.
6. Provide GIS support to field scientists and operations teams for data collection and spatial analysis.
7. Develop spreading maps and application maps to optimize field operations.
8. Design and implement experimental soil sampling plans and pilot studies.
9. Conduct clustering analyses and develop coding pipelines for soil data retrieval from open source databases and NDVI analysis for experimental design.
10. Maintain and update geospatial databases, perform queries, and ensure data integrity.
11. Support GIS integrations with our technology platform to enhance spatial functionalities and user accessibility.

Background and Requirements:

• Education: PhD in GIS, Agricultural Sciences, Soil Science, Remote Sensing, Environmental Science, Agronomy, Crop/Soil modeling, or a related field. Candidates with substantial GIS and geospatial analysis experience in agriculture and equivalent industry experience will also be considered.
• Experience: 5+ years applying GIS methodologies in agriculture, preferably in soil science, carbon markets, agronomy, or environmental science.
• Technical Skills: Proficiency with GIS software (ArcGIS, QGIS, Google Earth Engine, Felt), APIs, remote sensing, and spatial modeling techniques.
• Data Analysis & Coding: Experience with Python or SQL for geospatial data analysis, especially with large agricultural datasets.
• Sampling & Experimental Design: Knowledge of field sampling, data collection, and experimental design for soil and agronomic applications.
• Project Management: Ability to lead projects, coordinate with cross-functional teams, and deliver high-quality spatial data outputs.
• Attention to Detail: Strong QA/QC skills to ensure data accuracy and integrity, complying with MRV protocols.
• Communication & Collaboration: Ability to work in interdisciplinary teams and translate complex analyses into actionable insights.

Nice to Have:

• Experience with agricultural carbon markets, soil sampling at plot and field levels, MRV methodologies, or regenerative agriculture practices.
• Familiarity with cloud-based geospatial tools and databases.
• Knowledge of machine learning in geospatial analysis.

Personal Attributes:

• Strategic thinker with a balance of short-term needs and long-term vision.
• Collaborative leader with a hands-on approach to problem-solving.
• Ability to navigate ambiguity and prioritize in a fast-paced environment.
• Positive, action-oriented mindset focused on outcomes.

Success in this role: Contributing to our technical stack and methodology development, supporting the SciOps team to realize our ambitions.

Our mission is to stabilize Earth’s climate by transforming natural carbon removal into a global climate solution through science, technology, and coalition-building, starting with Brazil.

Founded within Stanford's ecosystem, Terradot is led by top experts to advance ERW science and technology. Our unique structure bridges industry, academia, and government, enabling rapid contribution. We have raised $58.2M from notable investors including John Doerr, Sheryl Sandberg, Microsoft, Google, and others. We have sold approximately 300,000 tons of CDR to leading buyers like Frontier and Google.

We are committed to equal employment opportunities and encourage applicants from all backgrounds who meet the qualifications to apply.