Data Scientist

  • Anywhere

Mekong Big Data

We are looking for an experienced data scientist who will be responsible for translating business requirements into analytical constructs and using data to propose solutions for effective decision making.

You will collect, validate, transform, and clean data, as well as perform quantitative analysis to derive insights. You will run analytical experiments in a methodical manner and regularly evaluate alternative models and techniques. You will also develop predictive models to forecast business performance metrics and provide recommendations for strategic decisions.

The ideal candidate will be autonomous, creative and self-motivated to deliver excellence in their work. You will join a team that is passionate about teamwork and supporting one another under the spirit of Ubuntu philosophy.

Key accountabilities:

  • Performs in-depth analyses (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) to help the company focus on key decisions to improve operational efficiency, product quality, and business value.

  • Responsible for discovering insights from Big Data to help shape or meet specific business needs and goals.

  • Develops and maintains analytical models through understanding data, evaluating technologies, optimizing algorithms, experimenting and validating models.

  • Performs data cleansing and blending processes to produce analytic data sets for use by a variety of downstream purposes.

  • Implements new statistical, mathematical, machine learning or other methodologies for modeling or analysis.

  • Utilizes business knowledge to translate goals into data-based deliverables, such as predictive models, pattern detection analysis or optimization algorithms.

  • Conducts research to identify relevant data for developing prototypes and proof-of-concepts (POC).

  • Collaborates with cross-functional stakeholders to understand business needs, formulate complete end-to-end analyses that includes business requirements, data gathering, analysis, scalable solutions, and presentations.

  • Delivers effective presentations that tell compelling stories about analytical insights.

  • Develops, modifies, and automates reports, builds and prototypes dashboards to provide insights, and provides analytical solutions.

Key requirements:

  • Experience in quantitative analytics (e.g. data mining, regression analysis, hypothesis testing, predictive modeling techniques, simulation, and model optimization)

  • Understanding of applied research design and machine learning (e.g. multivariate statistical analysis, unsupervised and supervised learning, predictive modeling)

  • Knowledge and intermediate-level skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including Big Data platform (e.g., Hadoop, AWS, Azure)

  • Intermediate-level proficiency in reporting tools (e.g., Microsoft PowerBI, Tableau, Business Objects, QlikView, Sisense, IBM Cognos, Google Data Studio, etc.)

  • Intermediate-level programming skills in SQL, PHP, Java, Javascript, Python, R

  • Familiarity with Cloud environments

  • Interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience

  • Good communications skills in English

  • Excellent leadership skills

  • Familiar with Agile development methodology

  • Can quickly adapt to changing requirements

  • Detail-oriented

  • Enthusiastic, positive and ambitious


  • Competitive salary

  • 28 days leave (inclusive of Cambodian national holidays)

  • Professional development fund

  • Staff sports/books fund

  • Team social calendar

  • Flat, respectful and supportive management structure (Ubuntu philosophy)

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