Data Scientist

Data Analytics

Chonburi, Thailand


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Job Descriptions

Position: Data Scientist
Department: Data Analytics
Location: Chonburi, Thailand

As a member of the data analytics team, the data scientist is responsible to develop, improve, and maintain our data-driven projects. You will create impactful Machine Learning pipelines and predictive models to maximise the value of our data. You will also play a major role in promoting data driven culture in the company.

Job Duties
  • Formulating, suggesting, and managing data-driven projects
  • Building and turning prototypes into fully-fledged applications
  • Performs analyses of structured and unstructured data to solve business problems.
  • Deploy algorithms and statistical predictive models.
  • Optimising – Improving existing Machine Learning pipelines
  • Researching – Staying current with the latest research and technology trends to improve our algorithms and future-proof our solutions.
  • Actively participate in solving business problems, and offer solutions based on our data.
  • Deliver updates to stakeholders based on analytics.
  • Recommend different ways to constantly improve data reliability and quality.
  • Support the internal departments with relevant business data from the business unit.
  • Advanced degree in Data Science, Statistics, Computer Science, or similar.
  • Minimum 3 years of experience in predictive modelling, data science and analysis
  • Competent in machine learning techniques including regression, classification, clustering.
  • Computer vision and deep learning achievement will be advantageous.
  • Strong background Python & Excel.
  • Hands on experience with SQL server or another database language (MySQL, PostgreSQL, …)
  • Experience with big data tools (NiFi, Spark, Kafka) and database language will be appreciate.
  • Fluent in English
  • Annual Leave start from 12 days
  • Bonus
  • Party, TGIF, Coffee and Snack
  • Outing trip, Family trip or another activities
  • Health Insurance & Dental Insurance
  • Health Insurance for family
  • Life Insurance
  • Provident Fund
  • Training
  • Computer


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