Data Scientist

  • Competitive
  • Hong Kong
  • Permanent, Full time
  • NLS
  • 23 Oct 17 2017-10-23

As a Data Scientist, you are humble, data driven and love to work with and extract actionable insights from massive amounts of semi-structured, streaming data. You are full of curiosity and have a blend of technical skill and intuition. In close collaboration with the product and operations teams, you will use data to prove or disprove theories, evaluate the success of our operations, and recommend courses of action. You are fluent in conducting quick, but statistically significant testing cycles and rapid iterations; you are happy to be proven wrong so the team can arrive at a better solution.

As a Data Scientist, you are humble, data driven and love to work with and extract actionable insights from massive amounts of semi-structured, streaming data. You are full of curiosity and have a blend of technical skill and intuition. In close collaboration with the product and operations teams, you will use data to prove or disprove theories, evaluate the success of our operations, and recommend courses of action. You are fluent in conducting quick, but statistically significant testing cycles and rapid iterations; you are happy to be proven wrong so the team can arrive at a better solution. You love problem solving, visualizing data and clean data. You have a direct impact on the performance of our product and player satisfaction; your work product will be quickly visible, tested and validated.

 

*Role:

  • Develop models around player behavior, and create predictive algorithms / models which can be tuned to optimize the game play experience
  • Build and maintain business intelligence tools, pipeline, databases, and dashboards; generate ad-hoc reporting
  • Manage, automate a timely dissemination of business intelligence information in a well-structured and conclusion-driven manner
  • Synthesize data to support recommendations for action
  • Coach and mentor others in the discipline of data science
  • Develop clear data instrumentation requirements and documentation

 

 

*Requirements:

  • Excellent understanding of ETL processes, data warehousing and data modeling techniques
  • Excellent knowledge of applied math, probability theory and advanced statistical analysis methods
  • Excellent with SQL, R, SPSS, SAS, MATLAB and/or other database query and analysis tools
  • Experience with efficiently querying and analyzing terabytes of data
  • Up-to-date and fresh with Python or other commonly used scripting tools/languages
  • Knowledge with Snowflake, Hadoop, Amazon Kinesis, Amazon S3 and/or other cloud database warehousing and data-pipelines
  • Experience and knowledge of different data modeling tools, strategies, methodologies and notations
  • Experience in machine learning a tremendous plus
  • Ability to work independently; highly self-motivated, and can work without much guidance.
  • Possesses excellent communication and organization skills, flexibility and the proven ability to build quality products; strong analytical and problem solving skills
  • Advanced Degree in CS/Engineering (or equivalent) preferred