Data Scientist

• Bachelor degree in Computer Science, Information Technology, Computer Engineering, Electrical Engineering, Telecommunication Engineering, Mathematics.
• Master degree or higher at Data Mining, Machine Learning or other Data Science related fields is preferred.
• 3-5 years of experience as a researcher/ scientist in the area of Data Analytics, in which at least 1 year experience of technical supervision in Data Analytics is required.
Knowledge/Skills
• Solid knowledge at Probability and Statistics, Linear Algebra, Optimization, Numerical Computation
• Experience with different types of data, especially time series and categorical data.
• Experience with a variety of machine learning techniques for regression, clustering, pattern recognition, etc.
• Skillful at one of programming/scripting languages: Python, R, C/C++, Java etc.
• Skillful at manipulating data using SQL/DBMS (Oracle, MySQL, Postgres, etc.)
• Familiar with big data/cloud technologies/distributed computing: e.g., MongoDB, Hadoop, AWS, MapReduce, Hive, Spark, etc. is an advantage
• Demonstrated systematic skills/experiences in research methodology.
• Excellent interpersonal & English communication skills, both written and verbal.
• Japanese language (N3 or higher) is an advantage.
Personal Attributes
• Having passion for discovering insights of data
• Highly motivated and business driven professional with a can-do attitude.
• Ability to solve problems by being collaborative, creative and strong analytical skills.
• Ability to achieve outcomes with minimal direct supervision.
• Ability to pay careful attention to details.
• Capable of presenting complex technical topics in a clear and structured way for even non-technical stakeholder.
• Self-awareness, good team player, good sense of responsibility, result-oriented and deadline commitment.