Data Scientist

3 hours ago

Noida, Uttar Pradesh, India Arya Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Title: Data Scientist

Location: On-site (Noida)

Type: Full-time

Experience Level: Mid-Level (3–5 years)

⸻

About the Role:

We are looking for a Data Scientist with a strong foundation in geospatial analysis and machine learning to join our team. You'll work on developing models and insights from satellite imagery for agricultural applications using Google Earth Engine (GEE) and AI tools.

This role is ideal for someone with hands-on project or internship experience in remote sensing or geospatial ML who's ready to grow into a more focused and impactful role in precision agriculture.

⸻

Key Responsibilities:


• Work with satellite imagery to extract insights about farms, vegetation, and land health.


• Use Google Earth Engine (JavaScript and Python APIs) for geospatial data processing.


• Assist in building ML models for:


• Vegetation and stress index analysis


• Moisture and crop condition estimation


• Crop classification and growth monitoring


• Support the design of data pipelines and automation workflows.


• Collaborate with team members from agronomy, GIS, and engineering for data integration and delivery.

⸻

Preferred Qualifications:


• 3–5 years of experience in data science, remote sensing, GIS, or a related field (internships or projects count).


• Hands-on experience with Google Earth Engine.


• Proficient in Python and familiar with key data science libraries (NumPy, Pandas, Scikit-learn, etc.).


• Exposure to working with satellite imagery (e.g., Sentinel, Landsat).


• Some experience with AI/ML models for classification or time-series analysis.


• Curious, proactive, and comfortable learning in a fast-moving environment.

⸻

Nice to Have:


• Exposure to agriculture, climate, or environmental data projects.


• Familiarity with cloud platforms (especially GCP).


• Basic GIS skills (e.g., QGIS, shapefiles, geospatial formats).


• Projects or portfolio showcasing relevant work.

⸻

What We Offer:


• A chance to work on high-impact, real-world problems in agriculture.


• Supportive team environment and opportunities to grow your skills.


• Flexible work setup and a collaborative, mission-driven culture.

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