Data Scientist
6 months ago
**Responsibilities**:
1. Collaborate with cross-functional teams to identify data requirements and objectives for developing predictive models.
2. Collect, preprocess, and analyze large datasets related to crop yield, disease prevalence, pest infestations, irrigation, fertigation, and soil carbon content.
3. Design and implement machine learning algorithms, including deep learning and random forest, to develop mechanistic and process-based models for crop prediction and management.
4. Evaluate model performance and refine algorithms to improve predictive accuracy and reliability.
5. Interpret model results and provide actionable insights to inform decision-making processes related to crop management practices.
6. Stay abreast of the latest advancements in data science, machine learning, and agricultural technology to continuously enhance our analytical capabilities.
**Qualifications**:
1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
2. Proven experience (2-3 years) in developing predictive models using machine learning techniques, such as deep learning, random forest, SVM, etc.
3. Proficiency in programming languages such as Python or R for data analysis and model development.
4. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
5. Familiarity with agricultural concepts and datasets related to crop yield, disease, pest infestations, irrigation, fertigation, and soil carbon content is preferred.
6. Excellent problem-solving skills and ability to work independently as well as part of a collaborative team.
7. Effective communication skills with the ability to present complex technical concepts to non-technical stakeholders.
Join our team and contribute to the advancement of agricultural technology while making a positive impact on global food security and sustainability.
Team MCC
**Salary**: ₹1,000,000.00 - ₹1,500,000.00 per year
**Benefits**:
- Paid sick time
- Work from home
Schedule:
- Monday to Friday
- Weekend availability
**Experience**:
- Data science: 2 years (required)
Work Location: Remote
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