
Data Scientist, Trust and Safety-Monetization Integrity-Data Cycling Center, project intern - 2025 Start
- Singapore
- Training
- Full-time
1. Conduct literature research to understand the best practice in the field;
2. Perform quantitative and qualitative analysis to uncover insights;
3. Train machine learning models to analyze historical data and make predictions;
4. Propose and validate workflows to solve business problems;
5. Present findings and recommendations to the team.Qualifications:Minimum Qualifications:
1. Undergraduate, or Postgraduate who is currently pursuing a degree/master in quantitative fields such as Statistics, Mathematics, Computer Science, Economics, Applied Analytics, Operations Research, Business Management, Engineering, Finance or any other relevant fields or a related technical discipline;
2. Strong technical skills in SQL and scripting languages (Python, R);
3. Experience with large databases or Hadoop ecosystem, Machine Learning and AI technologies;Preferred Qualifications:
1. Strong communication skills in English (both oral and written);
2. Ability to relay technical and non-technical information in a clear and concise manner.