Why work
with us?
GREENIPATH is a pioneering force in the sustainability sector, dedicated to driving positive environmental change through innovative solutions in the environmental certificates markets. We empower businesses to achieve their sustainability goals by providing expert guidance, market insights, and a comprehensive suite of services tailored to their unique needs. Our commitment to excellence and customer satisfaction positions us as a trusted partner in navigating the complexities of the Voluntary Carbon Market (VCM), fostering a greener and more sustainable future.
Vacancies
If you are a highly independent and self-driven individual who thrives in a results-oriented environment, taking initiative and embracing the freedom of remote environment to shape their own work approach, explore our current career opportunities and discover exciting roles that will ignite your passion and drive.
Data Scientist
We are seeking a highly skilled and mission-driven Data Scientist who can translate raw, heterogeneous data into rigorous, audit-ready insights for a carbon projects. The ideal candidate combines strong statistical and machine learning expertise with a deep appreciation for agricultural and environmental data complexities. Experience working with large-scale datasets in resource-constrained or field settings is strongly valued. The Data Scientist will be responsible for designing, managing, and deriving insights from complex multi-source datasets, including satellite imagery, field survey records, remote sensing outputs,
econometric baselines, and farmer-level socioeconomic data—to support carbon accounting, MRV (Measurement, Reporting & Verification), and project reporting.
Key Responsibilities
Data Architecture & Management
• Design and maintain scalable data pipelines to ingest, clean, validate, and store farmer-level, field-level, and project-level data.
• Develop standardized data schemas for carbon project MRV workflows, ensuring compatibility with Verra, Gold Standard, or equivalent registries.
• Implement robust data versioning, lineage tracking, and quality assurance protocols across datasets spanning multiple years.
• Manage large structured and unstructured datasets from satellite feeds, IoT sensors, survey platforms (e.g., KoBoToolbox), and third-party APIs.
Machine Learning & AI
• Build and deploy ML models for biomass estimation, land-use classification, deforestation risk prediction, and carbon stock change detection.
• Apply supervised, unsupervised, and semi-supervised learning techniques to noisy, incomplete, or sparse agricultural datasets.
• Develop AI-assisted tools for anomaly detection in farmer data records, flagging data quality issues and retroactive inconsistencies.
• Continuously evaluate and improve model performance using appropriate validation frameworks (cross-validation, OOB estimation, etc.) for spatially autocorrelated data.
Data Analytics & Reporting
• Conduct exploratory and inferential analyses to generate insights on carbon sequestration rates, land-cover changes, and farmer practice adoption.
• Develop interactive dashboards and visualization tools (e.g., using Plotly, Dash, Power BI, or Streamlit) for project stakeholders and auditors.
• Produce data-driven reports aligned with project verification cycles and carbon registry submission requirements.
• Perform time-series analysis on vegetation indices (NDVI, EVI), rainfall, and other climate indicators to support retroactive additionality claims.
Econometrics & Baseline Modelling
• Design and implement econometric models to establish counterfactual baselines for land-use and carbon stock in the absence of the project intervention.
• Apply difference-in-differences (DiD), propensity score matching (PSM), regression discontinuity, and instrumental variable techniques as appropriate.
• Conduct statistical inference on socioeconomic co-benefits including income effects, food security proxies, and livelihood diversification for enrolled farmers.
• Ensure methodological rigour consistent with carbon standard requirements for additionality and leakage assessment.
Stakeholder & Field Collaboration
• Work closely with field teams, MRV officers, and community mobilizers to understand data collection constraints and ensure data integrity at source.
• Train field data collectors and project staff on data entry best practices and quality control procedures.
• Liaise with external auditors, carbon registry representatives, and technical consultants during verification and validation exercises.
Required Qualifications & Skills
Education
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Environmental Science, Economics, Agricultural Science, or a closely related field.
• Relevant certifications in ML, data engineering, or carbon standards will be an advantage.
Experience
• Minimum 3–4 years of hands-on professional experience in data science, data analytics, or a related data-heavy discipline.
• Proven track record of managing and analyzing large-scale datasets (millions of records) in real-world, production environments.
• Prior experience in agriculture, forestry, climate, or environmental data projects is highly desirable.
• Familiarity with carbon markets, MRV frameworks, or nature-based solutions (NbS) is a strong plus.
Technical Proficiency
• Programming: Expert-level Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch) and/or R; SQL for relational databases.
• Machine Learning: Classification, regression, clustering, ensemble methods, neural networks, and model explainability (SHAP, LIME).
• Big Data: Experience with Apache Spark, Dask, or cloud-based platforms (AWS, GCP, Azure) for handling high-volume datasets.
• Data Engineering: ETL pipeline design, REST API integration, database management (PostgreSQL, MongoDB, or similar).
• Econometrics: Working knowledge of causal inference, panel data models, and treatment effect estimation.
• Visualisation: Proficiency in matplotlib, seaborn, Plotly, Power BI, Tableau, or equivalent tools.
• Version Control: Git/GitHub for collaborative development and audit-trail compliance.
Preferred Skills (Bonus)
GIS & Geospatial Analytics
While not mandatory, candidates with GIS expertise will have a distinct advantage given the spatial nature of the project data:
• Proficiency in QGIS, ArcGIS, or equivalent GIS platforms for spatial data management and cartographic output.
• Experience with Google Earth Engine (GEE) or similar platforms for processing large-volume satellite imagery and remote sensing data.
• Ability to work with geospatial Python libraries such as GeoPandas, Rasterio, Shapely, Fiona, and Folium.
• Understanding of spatial statistics, polygon overlays, buffer analysis, and land-cover change detection using multispectral imagery.
• Familiarity with carbon-relevant satellite products such as Landsat, Sentinel-2, MODIS, and Planet imagery.
• Experience conducting spatial analysis for biodiversity assessment, watershed delineation, or agroforestry mapping.
What We Offer
• A meaningful role contributing directly to global climate action and smallholder farmer livelihoods.
• Competitive salary commensurate with experience and qualifications.
• Opportunity to work on one of the largest ARR retroactive carbon projects in the region.
• Exposure to cutting-edge carbon market methodologies, including Verra VM0047 and related standards.
• Professional development support including training in GIS, carbon standards, and AI applications.
• Collaborative, mission-driven team environment with field exposure opportunities.
How to Apply
Interested candidates are invited to submit the following:
• Updated CV/Resume highlighting relevant data projects and technical stack.
• A brief cover letter (max. 400 words) explaining your interest in the role and relevant
experience.
• Optional: Links to relevant GitHub repositories, Kaggle profiles, published reports, or
portfolio projects.
Applications will be reviewed on a rolling basis. Only shortlisted candidates will be contacted for further assessment, which may include a technical data task.
If you’re ready to realize your potential and contribute to a greener future, we want to hear from you.
Submit your resume and a cover letter detailing your experience, your expectations in your role and why GREENIPATH is the right fit to hrd@greenipath.com.
Let’s turn the tide on climate change, together!
Data Validator – Intern
We are looking for motivated and detail-oriented individuals to join our team as Data Validator Interns. The selected candidates will be responsible for checking, verifying, and processing daily field data collected across project sites. The role requires a strong command of Google Earth, spatial data tools, and the ability to work collaboratively with field teams and project coordinators. Preference will be given to candidates who are natives of Karnataka or who are proficient in the Kannada language, as effective communication with local field teams is essential to the role.
1. Daily Data Validation & Quality Control
• Review and validate field data submitted by surveyors and enumerators on a daily basis.
• Cross-check data entries for completeness, consistency, and accuracy against predefined validation protocols.
• Identify and flag anomalies, duplicates, or missing values and coordinate corrections with field teams.
• Maintain daily data validation logs and summary reports for the project lead.
2. KML Creation & Spatial Data Handling
• Create, edit, and manage KML/KMZ files for project boundary mapping, site delineation, and field survey polygons.
• Overlay KML layers on Google Earth to visually inspect site conditions and cross-verify GPS coordinates.
• Ensure spatial data aligns with project site boundaries and carbon accounting plots.
• Organize and archive KML files by site, date, and survey type for audit-readiness.
3. Google Earth Operations
• Use Google Earth Pro for daily verification of field locations, land-use change detection, and plausibility checks.
• Perform visual comparisons of historical and current imagery to validate ARR activity claims.
• Export geo-referenced images, place markers, and path data as required by the project team.
• Generate location-tagged screenshots and annotated imagery for reporting purposes.
4. KoboToolbox Data Management (Preferred)
• Access and review form submissions from KoboToolbox to verify field survey data.
• Download data exports in XLS/CSV formats and reconcile with spatial data.
• Assist in form design review and flag any issues with question logic or data capture formats.
• Track submission completeness and follow up with enumerators for incomplete records.
5. Team Coordination & Communication
• Serve as a communication link between field teams and the data management/project office.
• Coordinate with field surveyors, often in Kannada, to resolve data discrepancies and clarify collection protocols.
• Participate in daily/weekly team calls to report validation progress and blockers.
• Support senior validators and project leads with ad-hoc data tasks as needed.
6. Documentation & Reporting
• Prepare daily, weekly, and milestone data validation reports.
• Maintain organized folders of raw, processed, and validated data in shared drives.
• Support MRV (Measurement, Reporting, and Verification) documentation needs for audit and certification.
• Ensure all data files follow naming conventions and version control standards of the project.
Required Qualifications & Skills
Educational Background
• Bachelor’s/Master’s degree (completed or pursuing) in Environmental Science, Forestry, Remote Sensing, Agriculture, or any related field.
• Candidates from other backgrounds with relevant GIS/data skills will also be considered.
Technical Skills – Mandatory
• Google Earth Pro – Must have hands-on proficiency in navigating, layering KMLs, and using measurement tools.
• KML/KMZ Creation – Ability to create and edit KML files using Google Earth or third-party tools.
• Basic GIS Knowledge – Familiarity with coordinate systems, GPS data, and spatial data formats is essential.
Technical Skills – Preferred
• KoboToolbox – Experience with form submission review, data export, and basic form design.
• QGIS or ArcGIS – Knowledge of desktop GIS tools for spatial analysis will be an added advantage.
• Remote Sensing Basics – Ability to interpret satellite/aerial imagery for land use and vegetation assessment.
• Carbon Project Familiarity – Prior exposure to carbon projects, MRV processes, or VCS/Gold Standard methodologies is a plus.
Soft Skills
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication in English; Kannada proficiency is a strong advantage.
• Ability to manage high volumes of data with consistency under deadlines.
• Team player with proactive communication habits and a problem-solving attitude.
• Willingness to coordinate closely with field teams and adapt to project workflows.
Language & Regional Preference
Preferred Origin: Native of Karnataka, India
Language Preferred: Kannada – Native or Conversationally Proficient
Why It Matters: Field teams and local enumerators primarily communicate in Kannada. Language proficiency enables faster query resolution, better rapport, and more accurate data correction workflows.
What We Offer
• Hands-on experience with a certified international carbon project.
• Exposure to spatial data tools, MRV workflows, and carbon market standards.
• Mentorship from experienced professionals.
• Certificate of completion / Letter of Recommendation upon successful internship.
• Opportunity for conversion to a full-time Associate role based on performance.
Confidential – For Recruitment Purposes Only
• A strong and competitive salary
How to Apply
Interested candidates should send their application to the project HR/Recruitment team with the following:
• Updated CV/Resume highlighting relevant GIS and data handling skills.
• A brief cover letter (200–300 words) explaining your interest in the role and relevant
experience.
Only shortlisted candidates will be contacted for an interview/assessment round.
If you’re ready to realize your potential and contribute to a greener future, we want to hear from you.
Submit your resume and a cover letter detailing your experience, your expectations in your role and why GREENIPATH is the right fit to hrd@greenipath.com.
Let’s turn the tide on climate change, together!
Interested in joining us?
We look forward to hearing from you!