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Data Scientist

JALA (Yogyakarta, Yogyakarta, Indonesia)
Yogyakarta, อินโดนีเซีย 🇮🇩
JALA mengubah industri udang dengan menawarkan sistem manajemen yang jauh lebih baik. Dengan mempertimbangkan pertanian berbasis data, tujuan kami adalah membuat petani membuat keputusan berdasarkan data aktual. Oleh karena itu, sistem kami menyediakan alat pemantauan, perencanaan & pelaporan kualitas air, lengkap dengan sistem pendukung keputusan sehingga pembudidaya dapat memulai pengolahan yang tepat pada waktu yang tepat, berdasarkan data yang telah dikumpulkan dan dianalisis. Semua data dari setiap peternakan yang menggunakan sistem secara otomatis dikirim untuk pemeriksaan dan peninjauan untuk mendapatkan wawasan berharga tentang industri ini secara keseluruhan. Data ini dapat dipecah menjadi kinerja tambak, tingkat produksi, dan pola penyakit di seluruh wilayah, spesies, dan/atau pengelola. Melalui kekuatan data JALA akan menjadikan budidaya udang yang berkelanjutan dan menguntungkan sebagai praktik umum.

เกี่ยวกับตำแหน่งนี้

The Data Scientist will leverage expertise in quantitative analysis and data mining to understand user interactions with ad products, collaborating with Product and Engineering teams to drive product decisions and insights.

หน้าที่รับผิดชอบ

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our ads products
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Inform, influence, support, and execute our product decisions
• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
• Build and prototype analysis pipelines iteratively to provide insights at scale
• Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Conduct researches to help product and engineering team provide better value proposition for shrimp farmers through data

คุณสมบัติ

• 1-3 in data science related roles
• BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative field. Advanced degrees preferred but not required
• Able to collect and process data from any resource using SQL, R/Python or other scripting and statistics tools
• Having experience in data analytics
• Having experience in AWS technology is a plus
• Having experience in using machine learning frameworks
• Having experience in statistical analysis (ex: hypothetical test, experimentations, regression) and familiar with statistics tools (Matlab, R, SAS, or Python)
• Experience with large data sets and distributed computing is a plus
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner
• Advanced understanding of statistical analysis
• Having experience in machine learning and artificial intelligence