🏢 Company Overview:
WhatJobs is a leading global job search platform connecting talented professionals with top organizations across various industries. Our mission is to empower people by providing access to meaningful career opportunities while helping businesses find the right talent through data-driven recruitment solutions.
💼 Job Details:
- Employment type: Full Time/ Part Time
- Experience: 5 to 6 Years
- Salary: ₹55,000 – ₹75,000 monthly
- Location: Work For Home
- Work timing: 9:00 AM to 6:00 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
WhatJobs is seeking an experienced Agricultural Data Scientist to analyze, interpret, and model complex agricultural data to drive insights and support innovation in the agri-tech sector. The ideal candidate should possess strong analytical skills, experience with large datasets, and expertise in machine learning and predictive analytics related to crop yield, soil health, and sustainable farming practices.
🔑 Key Responsibilities:
- Collect, clean, and preprocess agricultural datasets from various sources
- Develop predictive models to improve crop productivity, pest management, and resource efficiency
- Analyze climate, soil, and yield data to identify trends and actionable insights
- Work with IoT and satellite data to enhance precision farming models
- Collaborate with agronomists, data engineers, and product teams to integrate data insights into practical solutions
- Communicate findings through visualizations, reports, and presentations
- Stay updated with emerging trends in agricultural data science and AI technologies
🛠️ Required Skills & Qualifications:
- Strong proficiency in Python, R, or SQL for data analysis
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
- Knowledge of GIS systems, remote sensing, or satellite image analysis
- Familiarity with agricultural datasets and farm management systems
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
- Strong statistical and mathematical background
- Bachelor’s or Master’s degree in Data Science, Agricultural Engineering, Statistics, Computer Science, or a related field
🌟 Benefits:
- Opportunity to work on impactful agricultural innovation projects
- Collaborative and data-driven work culture
- Exposure to global agri-tech initiatives
- Career development and continuous learning opportunities
