Sensing
WFA Digital Insight
The demand for remote sensing specialists has been on the rise, with a 25% growth in job postings over the past year. As companies like PT Indofood CBP Sukses Makmur Tbk - Noodle Division invest in sustainability and digital transformation, the need for skilled professionals to lead remote sensing programs and data analysis has become increasingly important. With the global remote sensing market projected to reach
Job Description
About the Role
The Sensing role at PT Indofood CBP Sukses Makmur Tbk - Noodle Division is a critical position that requires a skilled professional to manage remote sensing programs and data analysis. The successful candidate will be responsible for designing, implementing, and monitoring remote sensing programs to support the company's sustainability practices. This role will work closely with cross-functional teams to integrate data into business and sustainability strategies.As a key member of the team, the Sensing specialist will operate and manage UAVs (Fixed Wing & Multi Rotor) for data collection purposes. The ideal candidate will have a strong analytical mindset and excellent communication skills to convey complex technical information to both technical and non-technical stakeholders.
The role is based in Palembang, and the company is looking for a candidate who is willing to travel to site locations as required. Fluency in English and Bahasa Indonesia is essential for this position.
What You Will Do
- Design, implement, and monitor remote sensing programs to support the company's sustainability practices
- Manage and analyze remote sensing data to inform business decisions
- Collaborate with cross-functional teams to integrate data into business and sustainability strategies
- Operate and manage UAVs (Fixed Wing & Multi Rotor) for data collection purposes
- Develop and maintain relationships with stakeholders to ensure effective communication of remote sensing data and insights
- Stay up-to-date with industry trends and developments in remote sensing technology
- Provide technical expertise and guidance to junior team members
- Develop and implement data quality control processes to ensure accuracy and reliability
- Present findings and insights to senior management and stakeholders
What We Are Looking For
- Minimum Bachelor's degree in Forestry, Geography, Electrical Engineering, Geodesy, Environmental Science, or a related field
- At least 1 year of experience in remote sensing technology and methods
- Proficiency in software such as ENVI, ERDAS, Mission Planner, and QGIS
- Proven experience in designing, implementing, and monitoring remote sensing programs
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work effectively in a team environment
- Experience in the palm oil or rubber industry is an advantage
- Willingness to travel to site locations as required
- Fluency in English and Bahasa Indonesia
Nice to Have
- Experience with data analytics and machine learning algorithms
- Knowledge of programming languages such as Python or R
- Familiarity with cloud-based data platforms and storage solutions
- Certification in remote sensing or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading company in the industry
- Professional development and training opportunities
- Collaborative and dynamic work environment
- Flexible working arrangements and remote work options
- Access to cutting-edge technology and tools
- Recognition and reward for outstanding performance
- Comprehensive health and wellness program
- Generous leave and vacation policy
How to Stand Out
- Tip: Make sure to highlight your experience with remote sensing software such as ENVI, ERDAS, and QGIS in your application.
- When applying, be sure to include the word ADVOCATES and tag #ROjox to demonstrate your thorough understanding of the job requirements.
- To stand out, consider including examples of your work in remote sensing, such as case studies or project reports, in your portfolio.
- In the interview, be prepared to discuss your experience with data analysis and machine learning algorithms, as well as your ability to communicate complex technical information to non-technical stakeholders.
- Salary negotiation: be prepared to discuss your salary expectations and requirements, and consider factors such as industry standards, company budget, and your own financial needs.
- Red flag: be cautious of companies that do not provide clear information about the role, expectations, or compensation package.
- When applying, make sure to research the company culture and values to ensure they align with your own goals and expectations.
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