Scientist I - Quantitative Economics and Data Science

International Rice Research Institute · 📍 Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
IDR 50000000 - 80000000
The International Rice Research Institute (IRRI) is seeking a highly motivated and qualified Scientist I to join our team in the Quantitative Economics and Data Science department. This role offers an exciting opportunity to contribute to cutting-edge research in agricultural economics and data science, with a competitive salary and benefits package. Located in the beautiful island of Bali, this position provides a unique work environment with opportunities for professional growth and development.

📋 Tanggung Jawab Pekerjaan

Conduct research in agricultural economics and data science to inform policy and decision-making.,Analyze large datasets to identify trends, patterns, and insights that can inform research and policy.,Develop and implement data-driven solutions to address agricultural challenges.,Collaborate with researchers, policymakers, and stakeholders to translate research findings into actionable insights.,Publish research findings in peer-reviewed journals and present at conferences and workshops.,Mentor and train junior researchers and staff in data analysis and research methods.,Stay up-to-date with the latest developments in agricultural economics and data science.

🎓 Kualifikasi & Syarat

A Master's degree in Agricultural Economics, Economics, Statistics, Computer Science, or a related field.,A Ph.D. in a relevant field is preferred.,Strong quantitative skills and experience with statistical software (e.g., R, Python, Stata).,Experience with data visualization tools (e.g., Tableau, Power BI).,Experience with machine learning and predictive modeling techniques.,Excellent communication and interpersonal skills.,Ability to work independently and as part of a team.,Strong problem-solving and analytical skills.,Fluency in English is required.

🛠️ Keahlian

Statistical analysisData visualizationMachine learningPredictive modelingResearch methodologyPolicy analysis
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