Sn Geospatial Data Scientist in Bangalore, भारत

Company Introduction

Varaha is a global, leading climate-tech venture focused on carbon removal solutions such as regenerative agriculture, afforestation, biochar, and enhanced rock weathering – supporting smallholder land stewards at scale. In just our third year of operation, we are removing and avoiding more than 1 million tons of CO₂ , distributing the majority of revenues to over 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Backed by leading global investors, our founding and management team has a stellar track record of scaling impactful projects and products across agri-tech and sustainability sectors.

Position:  Senior Android Developer

About the Role:
Responsibilities

1. Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR).

2. Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season monitoring.

3. Implement geospatial analytics to support regenerative agriculture insights—soil health indicators, cover crop detection, residue mapping, water stress, and biodiversity metrics.

4. Build Python-based EO pipelines for large-scale agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling).

5. Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting.

6. Maintain data quality, document methodologies, and support junior geospatial analysts.

7. Promote best practices in model development and code quality.

8. Translate business problems into data science solutions and communicate results to stakeholders.

Skills & Requirements:

• Master’s/PhD in Remote Sensing, Geoinformatics, Agriculture Engineering, Earth Sciences, Environmental Science, or related field.

• >5 years of experience in satellite analytics for agriculture (crop mapping, phenology, yield modeling, or sustainability metrics).
  Strong expertise in Google Earth Engine (JavaScript + Python API) for large-scale agricultural monitoring.

• Proficient in Python ( rasterio, geopandas, xarray, numpy, scikit-learn, PyTorch/TensorFlow is a plus).

• Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker/Kubernetes), and geospatial databases (PostGIS)

• Strong foundations in ML for agriculture: supervised classification, segmentation, domain adaptation, or transfer learning.

• Proficiency in Git, CI/CD pipelines, and frontend testing frameworks .

• Strong debugging and problem-solving skills to optimize performance and user experience.

Soft Skills

• Problem-solving mindset – You can break down complex UI/UX issues and develop effective solutions.

• Startup mindset – You thrive in fast-paced environments with minimal supervision.

• Business-oriented approach – You focus on impact, balancing speed and craft.

• Clear communication – Ability to articulate ideas effectively to both technical and non-technical stakeholders.

Bonus Points If You have:

• Experience in deploying models at scale in a production environment.

• Understanding of responsible AI, bias mitigation, and explainability frameworks.

• Domain-specific experience in satellite imagery is a plus.

• Publications, open-source contributions, or patents in ML fields are desirable.

What We Offer

Join a small, ambitious, and international team and enjoy the following benefits:

• Competitive salary and benefits package (ESOP)

• Key role in shaping a fast-growing climate tech startup 

• Support for learning & professional development 

• A culture of undogmatic, unbureaucratic creativity and collaboration

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Varaha is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices based on race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

If you are interested in becoming a part of this venture, then we would love to know your story, write to us at [email protected]