About Our Team

FunNow emphasizes the value of data, and the Data Team focuses on utilizing Data Modeling to solve real business problems while maintaining Data Governance and Data Engineering. We collaborate deeply with the Business Intelligence Team and Product Team. We aim to assist the whole company with building a data-driven environment, providing solid analytics, and proposing practicable business solutions. Members of the Data Team can access large-scale data from various industries and across countries. Meanwhile, there are other teams that kindly support us to achieve our goal.

Besides the brief introduction above,

• We have a flat organizational structure and close cooperation with stakeholders; communicating directly and efficiently is essential.
• We value work-life balance. Working overtime is not appreciated. Enjoy your flexible working hours as long as you finish your job properly.
• All members of the Data team can work from home one day per week.
  

Position Description

As a Data Scientist of the Data Team, you will be responsible for developing and implementing recommendation systems, seeking opportunities, and proposing projects that utilize Data Modeling to solve business problems. You are expected to have good communication skills, business thinking, and collaboration ability. Meanwhile, we will offer you opportunities and support to improve yourself. We're looking forward to growth with you, and it will be delightful to see you have an actual influence on business decisions.

Job Responsibilities:

• Develop and implement recommendation systems using machine learning or deep learning techniques.
• Collect, clean, and preprocess large datasets to extract meaningful insights.
• Build end-to-end machine learning pipelines from data collection to model deployment.
• Develop and evaluate machine learning models using appropriate evaluation metrics.
• Present findings and insights to non-technical stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams including product managers, software engineers, and data analysts to deliver high-quality products.
• Stay up-to-date with the latest developments in machine learning and data science to identify opportunities for improvement.