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Data Scientist


  • Application of AI- Machine Learning, Neural Networks and Reinforcement Learning
  • Able to structure projects to build integrated models. The integration means a link between data collection, data cleaning, engine creation, engine processing, and output results;
  • Extract data from primary and secondary sources using automated tools
  • Remove corrupted data and fix coding errors and related problems
  • Perform data analysis to assess the quality and meaning of data
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Collaborate and work with programmers and management heads to identify process improvement opportunities, model enhancements, and propose system modifications and new solutions.


  • Candidate must possess a Bachelor’s/College Degree in Mathematics, Statistics, Economics, Finance, Computer Science, or any related course
  • With a minimum of 2 years of work experience in the related field.
  • Proactive with positive work attitude & values, able to adapt to organizational changes, and has a strong desire to excel in his/her field.
  • Has coding skills in programming languages such as Python and R
  • Structured Query Language (SQL)
  • Proficient in Machine Learning with proven projects
  • Reporting and data visualization skills (Tableau, Power BI)
  • Able to deliver satisfactory results in a fast-paced environment
  • Must be keen on details with a strong sense of urgency
  • Can do multi-tasking
  • Reliable and able to meet deadlines
  • Has excellent interpersonal skills and can relate with different nationalities
  • Proficient in MS office (Excel, Word, PowerPoint)
  • Excellent in both oral & written English communication
  • Able to work under pressure and beyond normal office hours
  • Analytical and good problem-solving
  • Flexible, can work during weekends and holidays if needed
  • Must be willing to work in Makati