Cambodia-Australia Partnership for Resilient Economic Development (CAPRED)

Data Scientist and Artificial Intelligence Engineer

Data Scienceបានបង្ហោះ 4 mo ago

Location

Phnom Penh

Job Type

FULLTIME

Experience

Fresh Graduate

Work Mode

On-site

Languages

English, Khmer

អំពីតួនាទី និងភារកិច្ច

Provide technical support across CAPRED’s data science, data engineering, and applied AI work.
Help build reliable data pipelines, maintain digital data products, develop prototype AI tools, and strengthen internal capability to experiment safely and productively with data and AI.

Support the ingestion, cleaning, transformation, validation, and integration of data from structured and unstructured sources, including databases, spreadsheets, APIs, web sources, PDFs, survey data, and high-frequency indicators.
Assist in building and maintaining reproducible data pipelines using Python, SQL, and related tools, with appropriate checks for data quality, consistency, and version control.
Work on databases to store, query, document, and maintain analytical datasets used for policy analysis, dashboards, and AI applications.
Support macroeconomic, trade, investment, enterprise, geospatial, and other policy-relevant data analysis under the guidance of senior staff.

លក្ខខណ្ឌតម្រូវការងារ

This position is designed for an early-career professional with strong technical foundations, curiosity, and a willingness to learn through practice and mentoring.
The successful candidate is not expected to be an expert in every tool from the start, but must demonstrate a strong learning mindset, a positive professional attitude, disciplined problem-solving, and the ability to learn independently.
The role requires someone who is willing to test new ideas, learn from mistakes, document lessons, and help translate experimentation into practical innovation that improves CAPRED’s work processes.

ជំនាញចាំបាច់

technical foundationscuriositywillingness to learnlearning mindsetpositive professional attitudedisciplined problem-solvingability to learn independentlywillingness to test new ideaslearning from mistakesdocumentationtranslation of experimentation into innovationprocess improvementPythonSQL

កាលវិភាគការងារ និងភាពបត់បែន

Schedule:full_time

Start date:Flexible/ASAP

អំពី Cambodia-Australia Partnership for Resilient Economic Development (CAPRED)

ចូលមើលគេហទំព័រ

Australia’s flagship bilateral economic development program in Cambodia, focusing on economic recovery and resilience.

More at Cambodia-Australia Partnership for Resilient Economic Development (CAPRED)

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អំពីតួនាទី និងភារកិច្ច

Provide technical support across CAPRED’s data science, data engineering, and applied AI work.
Help build reliable data pipelines, maintain digital data products, develop prototype AI tools, and strengthen internal capability to experiment safely and productively with data and AI.

Support the ingestion, cleaning, transformation, validation, and integration of data from structured and unstructured sources, including databases, spreadsheets, APIs, web sources, PDFs, survey data, and high-frequency indicators.
Assist in building and maintaining reproducible data pipelines using Python, SQL, and related tools, with appropriate checks for data quality, consistency, and version control.
Work on databases to store, query, document, and maintain analytical datasets used for policy analysis, dashboards, and AI applications.
Support macroeconomic, trade, investment, enterprise, geospatial, and other policy-relevant data analysis under the guidance of senior staff.

លក្ខខណ្ឌតម្រូវការងារ

This position is designed for an early-career professional with strong technical foundations, curiosity, and a willingness to learn through practice and mentoring.
The successful candidate is not expected to be an expert in every tool from the start, but must demonstrate a strong learning mindset, a positive professional attitude, disciplined problem-solving, and the ability to learn independently.
The role requires someone who is willing to test new ideas, learn from mistakes, document lessons, and help translate experimentation into practical innovation that improves CAPRED’s work processes.