Farming Data Analytics (JALA)

JALA is transforming the shrimp industry by offering a vastly improved management system. With data-driven farming in mind, our goal is to get farmers to make decisions based on actual data.

For that reason, our system provides water quality monitoring, and planning & reporting tools, complete with a decision support system so farmers can initiate the right treatment at the right time, based on data which has been collected and analysed. All the data from every farm using the system is automatically sent in for collation and review in order to gain valuable insight into the industry as a whole.

This data can be broken down into farm performance, production levels, and disease patterns across region, species and/or manager. Through the power of data JALA will make sustainable and profitable shrimp farming common practice.

Salary: Rp. 4,000,000 - Rp. 5,000,000

Responsibilities:

• Collect data from various sources, including sensors, IoT devices, and manual recording systems.
• Clean, process, and integrate data from diverse sources into a format suitable for analysis.
• Design and build databases and data pipelines to effectively store and manage data.
• Develop predictive models and analyses to optimize shrimp production, such as harvest forecasting, disease detection, and feed optimization.
• Create interactive dashboards and reports to provide management with insights into farm performance, and analyze historical and real-time data to identify trends, patterns, and anomalies.

Minimum Requirements:

• Bachelor's degree in Computer Science, Statistics, or a related field. Fresh graduates welcome to apply.
• Experience with machine learning and data mining.
• Understanding of data engineering concepts and data architecture.
• Strong analytical skills.
• Interest in the fisheries industry, particularly shrimp aquaculture.
• Ability to work both independently and as part of a team.
• Effective communication skills, both technical and non-technical.
• Critical thinking and analytical skills.
• Ability to communicate analysis results effectively.