Data Scientist
Department : Product Innovation

  1. Explore new opportunities and build innovative analytic capabilities;
  2. Collaborate with product management and different stakeholders to understand company needs and devise possible solutions / features;
  3. Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings;
  4. Come up with excellent illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modeling results as measures of the business’s impact;
  5. Stay on top of the industry’s trends, in order to provide forward-thinking recommendations to the business;
  6. take initiative to experiment with various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible;
  7. Curiosity to learn and maintain knowledge and latest technologies in the fields of Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Big Data, Cyber Security and Intelligence platforms;
  8. Implement full data science process in various applications includes data collection, data cleansing, model training, evaluation, visualization, back-testing and model application; and
  9. Perform any other duties as assigned by superior from time to time.

  1. Master’s Degree or above holder in Statistics, Computer Science, Machine Learning or equivalent;
  2. At least 5 years’ experience in Data Science / Analytics;
  3. Strong understanding of machine learning techniques and algorithm;
  4. Extensive knowledge and industry experience (5+ years) with Machine Learning development using: Python and R and libraries like Scikit-learn, like NumPy, SciPy, Pandas, Matplotlib and SparkML;
  5. Good knowledge and industry experience (2+ years) with Deep Learning development using TensorFlow, Keras, and Theano is desirable;
  6. Good knowledge and industry experience (2+ years) with working on Big Data technologies such as Hadoop, HDFS, Kafka, Spark and Spark Streaming and AWS is desirable;
  7. Good knowledge of visualization tools such as Tableau, Qlikview Matplotlib (Python), etc is desirable;
  8. Good knowledge of database technologies such as SQL and MongoDB is desirable;
  9. Great communication skills, especially in explaining complex data problems and solutions;
  10. Track record of implementing models that deliver significant sustained business impact; and
  11. Data analytics and management experience, gained from the financial services sector is desirable; 
  12. Good interpersonal skill and detailed minded; and
  13. Good command of spoken and written English and Chinese; Mandarin is an


We offer competitive remuneration package and career prospect to the right candidate. Interested candidates, please apply with full resume with current and expected salary in PDF format to:

Senior Human Resources Manager

Joint Electronic Teller Services Limited

35/F., 248 Queen’S Road East,

Wan Chai, Hong Kong.

(or email to

Personal data collected would be used for recruitment purpose only. We are an equal opportunities employer.