The role

  • Machine Learning & AI: Research and propose innovative AI and machine learning solutions to address business challenges. Design, develop, and maintain machine learning models that enhance product intelligence and operational efficiency. Perform data preparation, feature engineering, model training, validation, deployment, and monitoring.
  • Data Engineering: Design and maintain data pipelines and ETL workflows to support analytics and machine learning initiatives. Contribute to the evolution of data architecture, storage, and processing systems

  • Data Analytics & Reporting: Analyze historical operational and business data to identify trends, opportunities, and business insights.Build dashboards, KPIs, and reporting solutions for both internal stakeholders and customers.Translate complex datasets into clear, actionable recommendations.

Location:
Phnom Penh
Type:
On-site

Ideal profile

 We are looking for a versatile and hands-on data professional with a strong foundation in Machine Learning and Data Science who is also comfortable working on Data Engineering and Business Intelligence challenges.

The ideal candidate enjoys solving real-world business problems using data, has experience deploying machine learning solutions, and can transform raw data into meaningful insights and user-friendly dashboards.

3 to 5+ years of professional experience in Machine Learning, Data Engineering, Data Analytics, or related fields.

Strong Python programming skills for data science, machine learning and data engineering with hands-on experience with: pandas, NumPy, scikit-learn

Solid understanding of machine learning fundamentals and model evaluation techniques. Experience with gradient boosting models such as or similar: XGBoost, LightGBM, CatBoost

Practical NLP experience, including: text classification, entity extraction, and embeddings. Experience using frameworks such as: spaCy, Hugging Face Transformers, and similar NLP libraries

Strong SQL skills, including: Complex joins, Aggregations, Window functions, and Performance optimization

Familiarity with data warehouse and data lake architectures and experience building ETL processes and automated data workflows.

Experience with MongoDB, other NoSQL databases, AWS services such as: S3, Lambda, EC2 is a plus

Experience building dashboards and reports using: Power BI, Tableau, Metabase, and similar BI platforms

Good level of spoken and written English to communicate in an international environment

Shape your future with us!

Apply now & join our teams of digital experts.

What we offer

  • Complete help for relocation in Asia for expatriates

  • Help with settling in (apartment visits, bank accounts, various formalities, etc.)

  • Exceptional working environment, attentive and highly competent teams

  • Major international projects, impacting millions of people worldwide

  • Mentoring by digital experts on best practices and agile project management

  • International and multicultural working environment

  • Competitive salary + bi-annual bonus + international insurance package for expatriates

  • Local work permit and administrative formalities

  • Flexible working hours (8 hours a day / 5 days a week – Wednesday remote)

  • Excellent living conditions in Phnom Penh: Cambodians are very friendly and pleasant, travel is super-easy, housing is affordable and purchasing power is really comfortable.

  • 15 days paid holidays per year + public holidays

  • Fast-growing company with many opportunities for advancement

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