Job Information

mobilityX is an SMRT and Toyota Tsusho funded startup that seeks to organise urban transport and simplify mobility by providing an integrated Mobility-as-a-Service (MaaS) solution to estates, businesses and consumers.

Recruitment Staff
Sandy Lim
Language: English
Job Information
數據科學家 Data Scientist



  • 應徵者需精通開發、自動化、管理共同模式和能檢測異常分析模型的能力
  • 透過不同的內部和外部利益相關,創建數據集或報告來自動化報告流程 
  • 開發,建構、測試、維護數據庫結構和數據處理管道 
  • 根據業務需求建立技術上的要求,並提出可執行的解決方案 
  • 使用包括 Google 及 Analytics  等在內的多個資料來源 
  • 採用多種語言和工具 (例如指令碼)結合來自不同數據源的輸出 
  • 推薦提高數據可靠性、效率及質量所需的方法  


  • 至少3年以上的學術經驗和2年以上具有生產力且在水準以上的數據分析及報告的經驗 
  • 至少2年以上SQL數據庫的工作經驗 
  • 具備數據分析的python庫的相關知識 
  • Linux作業系統中運作自如 
  • 具備數據工作流(data pipeline ) 和ETL工具(例如Apache Kafka)的知識  

優先首選 (加分項目)

  • 有經驗在從零開始,將數據項目走到Web或行動儀表板上者
  • 有經驗處理過行動數據的項目
  • 有經驗處理過Firebase數據
  • 具有Google、 BigQueryGoogle Cloud Project的經驗 
  • 有處理過Kibana,和Google Data Studio的經驗 
  • 精通數據整理、分析及轉換 
  • 對於學習機器技術和運算法有良好的理解力,例如k-NN, Naive Bayes, SVM, Decision Forests, etc. 等等。

Roles and Responsibilities 

  • Applicants will be well versed in developing enhancing, automating, and managing analytics models for common pattern and anomaly detection
  • Automate reporting by creating data marts or reports for different internal and external stakeholders
  • Develop, construct, test and maintain data storage structures and data processing pipelines
  • Create technical requirements from business requirements and implement proposed solutions
  • Work with multiple data sources including google analytics
  • Employ a variety of languages and tools (e.g. scripting languages) to combine outputs from different data sources
  • Recommend ways to improve data reliability, efficiency and quality

Skills required

  •  At least 3 years of academic experience and 2 years of production-level experience in data analysis and reporting
  • At least 2 years working experience with SQL databases
  • Knowledge of python libraries used for data analytics
  • Comfortable working in a linux environment
  • Knowledge of working with data pipelining and ETL tools such as Apache Kafka
  • Experience in bringing a data project from scratch onto a web or mobile dashboard will be a plus
  • Experience working with data in mobile projects will be a plus
  • Experience working with Firebase data
  • Experience in Google BigQuery and Google Cloud Project
  • Experience with Kibana, Google Data Studio
  • Highly proficient with data wrangling, analytic, transformation
  • Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

Education :
     At least a Master or PhD equivalent

Work Type
Pay by Month - USD $3,888 ~ 3,800
Preferred Job Type
Either On-Site or Remote
Expected Admission Quota
1 ~ 3 person