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Analytics
Data Scientist
Data Scientists work with data analysis, insight generation, and presentation. Common tools used by data scientists are Python with Jupyter notebook, R, Apache Spark, PowerPoint and, sometimes, JavaScript. This role assumes close work with Data Engineers and Business Units, so Data Scientists need to communicate well with both technical and business people.
Role Levels
Level 1
Level 2
Level 3
Data Scientist
Junior Experience Level
12k - 18k $HKD / Month
1 jobs available
SKILLS NEEDED TO QUALIFY FOR ROLE
Machine Learning
  • Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
  • Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.
Web Analytics
  • Read news in social channels, periodically post content there.
  • Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.
Statistics and Probability
  • Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
  • Could calculate mean of normal distribution and probability of independent event combination.
Modern Scripting and Command Line
  • Could SSH to remote servers.
  • Basic knowledge of unix commands: ls, sort, uniq, join.
  • Could execute other programs from the command line.
Business Metrics and Accounting

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

  • Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.
Dashboards and Visualization
  • Able to present results in Excel with charts using default color scheme.
  • Could read information from multiple dashboards.
  • Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.
Data Scientist
Junior Experience Level
12k - 18k $HKD / Month
1 jobs available
SKILLS NEEDED TO QUALIFY FOR ROLE
Machine Learning
  • Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
  • Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.
Web Analytics
  • Read news in social channels, periodically post content there.
  • Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.
Statistics and Probability
  • Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
  • Could calculate mean of normal distribution and probability of independent event combination.
Modern Scripting and Command Line
  • Could SSH to remote servers.
  • Basic knowledge of unix commands: ls, sort, uniq, join.
  • Could execute other programs from the command line.
Business Metrics and Accounting

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

  • Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.
Dashboards and Visualization
  • Able to present results in Excel with charts using default color scheme.
  • Could read information from multiple dashboards.
  • Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.
Data Scientist
Junior Experience Level
12k - 18k $HKD / Month
1 jobs available
SKILLS NEEDED TO QUALIFY FOR ROLE
Machine Learning
  • Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
  • Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.
Web Analytics
  • Read news in social channels, periodically post content there.
  • Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.
Statistics and Probability
  • Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
  • Could calculate mean of normal distribution and probability of independent event combination.
Modern Scripting and Command Line
  • Could SSH to remote servers.
  • Basic knowledge of unix commands: ls, sort, uniq, join.
  • Could execute other programs from the command line.
Business Metrics and Accounting

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

  • Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.
Dashboards and Visualization
  • Able to present results in Excel with charts using default color scheme.
  • Could read information from multiple dashboards.
  • Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.
Assessments
The following assessments award a Data Scientist badge: