Cinderella Media Group
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Recruit Ref: L042302201
Posting Date: 2019-08-23

SBT is a company focusing on researching and deploying emerging technologies pinpointing to the tradition industrial painpoints with disruptive solutions.

Backed by Listco and industrial leaders, we are developing our proprietary platform for the commodities trading industry

Research Data Scientist / Big Data Engineer, AI Dept


  • Be an integral part of the AI team to define, design and build Big Data Analysis products
  • Develop data set processes for data modeling, and mining that required to support and develop own solutions and platform
  • Work closely with Chief AI Officer and R&D Directors to create architectural solutions to solve difficult engineering problem in the data retrieval and data processing area
  • Handle the tasks of data analytics, big data, data visualization, data warehousing and delivery of projects and products
  • Contribute to continuous improvement on performance and deploy effective analysis mechanism
  • Build data pipeline that cleans, transforms and aggregates data
  • Partner with IT dept in productionalizing machine learning models
  • Stay in current and new web technology trends and backend technology


  • PhD degree in Computer Science, Applied Mathematics, Mathematics, Statistics, Operations Research or IT related or related disciplines.
  • Extensive research experience in one of the following fields: statistics, optimisation algorithm, Deep Learning, Natural Language Processing.
  • Excellent capability of implementing algorithms from papers to programs, tailored to particular business needs and tested on large dataset. Rich experience in big data analysis, machine learning,  
  • strong self-learning ability, and strong interest in machine learning in the industry
  • Solid mathematical foundation and machine learning algorithm skills, proficient in common data structures and algorithms
  • Statistical modelling and machine learning analysis preferably dealing with large scale data such as financial data or customer-driven data (ecommerce, internet, video analytics)
  • Familiar with machine learning (such as: Numpy, Pandas, Scikit-Learn, TensorFlow, Keras, etc.)
  • Familiar with neural network theory, familiar with CNN \ RNN \ LSTM principle
  • Familiar with big data processing related technology, include but not limited to Elasticsearch, Hadoop, Spark or Apache Arrow
  • Familiar with at least one of the following programming languages: C, C++, Java, Go, with one year or more of software project development experience
  • Proficient in either Python, R or Javascript. Ruby or Scala is also acceptable.
  • SQL, SAS, or other database tools for data mining
  • Understand the design ideas and solutions of basic algorithms for machine learning, familiar with time series processing, familiar with common algorithms for machine learning: decision trees, random forests, collaborative filtering, SVM, regression algorithms, etc.
  • Experience in protoyping and productionalizing advance analytics solutions in business
  • Experienced to develop Machine Learning models into Restful API is preferred.
  • Experienced with Cloud native services on Google Cloud or AWS is preferred.
  • Good communication skills in English, Chinese advantageous
  • Hands-on experience with Block-chain development or consensus algorithm research is preferred.
  • Graduated from top 100 university according to QS, Times Higher Education World University Rankings or Shanghai Jiao Tong University (Academic Ranking of World Universities)
  • Published paper in well-recognized conference / journal
  • Fresh graduates are also welcomed
  • Candidates with more experience will be considered for senior role
  • Open to sponsoring visas for technically strong candidates from Overseas

Interested parties, please apply together with a detailed resume, stating current and expected salary, and send it via
APPLY. Attractive remuneration will be offered in commensurate with qualifications and experience.

All personal information received will be treated in strict confidence for employment purpose only. Your application can be considered as unsuccessful if you have not been reached within 3 months.

On the other hand, it may be transferred to other companies of our group for job openings. Unsuccessful applications will be destroyed for a period not more than 12 months.

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Full Time 
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