Need to build a team of Data Scientists who will organize, interpret, structure and present data in meaningful and value-adding ways? Need the numbers they present to enable decision-making on customer trends and behaviour prediction, increased productivity and profitability and help you reach your organizational goals?

Data Scientist Qualifications and Experience
The Data Scientists we hire will have a university degree in a science, numerical, technical or quantitative discipline. Additionally, according to your requirements, they’ll be proficient in a combination of the following skills, programs and tools:
- SQL/BI and MySQL Workbench
- Digital analytics tools: Adobe Analytics, Google Analytics, WebTrends Infinity, IBM CoreMetrics
- Digital optimisation tools: Adobe Target, Google Optimiser, Oracle Maxymiser, Optimisely
- Data Science techniques and tools: R, Python
- Big Data technologies: Hadoop, Syntasa, AWS, GCP, Adobe Data Workbench
- Microsoft Office suite: Excel, Word and PowerPoint
- Java, Groovy, Matlab
- Cluster computing frameworks: Apache Spark
- Strong statistical or data processing skills
- ETL and Datamart processes, structure and approaches
- Data visualisation tools: Tableau, Qlik, Power BI
- Software development environments and approaches: Agile
- Cognos reporting system
Experience levels of Data Scientists in the Philippines and Vietnam local markets look as follows:
Junior - 1 year
Entry-level with Bachelor’s degree and good statistical knowledge - often referred to as a Data Analyst.
Intermediate - 2-3 years
Master’s degree or a good amount of experience as a Data Analyst - often referred to as a Data Engineer.
Senior - 5+ years
Highly experienced, analyses and interprets complex digital data, skills include advanced statistical analyses, a complete understanding of machine learning, data conditioning etc. Often referred to as a Data Scientist.
Top 4 Filipino Universities for Data Science




Top 4 Vietnamese Universities for Data Science




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