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Data Scientist Lead

  • Location: Bangkok
  • Salary: attractive per annum
  • Job Type:Permanent

Posted over 2 years ago

Argyll Scott is helping the client lookng for Data Science Lead is responsible to understand how to use data, analysis, and implement value result for business which would be project leader to help support and improve data in country and directly report to Director.

Key Responsibilities:

  • Collaborating with the in-country stakeholders to understand the business problem and desired business outcome
  • Defining detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
  • End-to-end delivery of multiple small to large projects individually, or as part of a project team, within timelines and budget
  • Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations
  • Research industry metrics and business context and bring this context to bear in analyses
  • Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
  • Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
  • Oversee deployment and implementation of analytics solutions and track business value impact
  • Develop strategies and recommendations on testing and monitoring analytical model performance in the business context

To be successful in this role, you will have strong technical skills as well as business capabilities. The requirements are as follows:

Key Qualifications;

  • Minimum 2 years of analytical experience in applying statistical solutions to business problems
  • Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
  • Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
  • Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
  • Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
  • Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
  • Experience in presenting ideas and analysis to stakeholders

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.