Responsibilities:    

• Interpret data and analyze results using statistical techniques and provide ongoing reports for IT projects  
• Develop and implement databases, data collection systems and data analytics
• Ensure data accuracy and continuously improve data quality
• Analyze structured and unstructured data, visualize findings to uncover patterns and discover insights for operation improvement, services optimization and predictive maintenance  

• PhD degree in Statistics, Mathematics, Computer Science, Information Management or other related disciplines
• At least 2 years relevant experience in data analysis, data mining, statistical modeling, predictive analytics, machine learning or data science related work
• Experienced in working with complex data from multiple sources, database marketing and database management
• Proficiency in Python, R, SAS or other statistical / data science language
• Experience with statistical modeling tools and data visualization tools
• Well organized, independent, self-motivated and good team player

• 5-day work  
• 12 days annual leave  
• Marriage leave
• Medical insurance
• Dental insurance
• Casual work attire
• Free drinks and snacks
• Flat company structure: your ideas get heard by the right people directly
• Diverse range of game and app: learn and try different projects from time to time  
• Regular (and fun) company activities