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Associate Data Scientist | Python | ML | Large-scale project

Teki'Spire Limited Hong Kong, China · HK$360K–HK$420K/yr

Staffing and Recruiting · 2-10 employees

Sep 25
python Mid (2-5 yrs) Full-time China
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About the role

The associate data scientist will provide advanced analytics support and translate unstructured business questions into quantitative problems. They will also prototype machine learning solutions and lead the implementation of data modeling and algorithmic capabilities.

What they look for

Python Machine Learning Data Science SQL NoSQL Hadoop Spark Scikit-learn XGBoost LGBM TensorFlow Tableau Data Modeling Algorithms Analytical Skills

Requirements

Candidates must hold a bachelor's degree in a quantitative field and have at least 2 years of experience in data science. Proficiency in Python and experience with big data tools and machine learning libraries are required.

Full description

  • Provide advanced analytics support and advise on appropriate analytical models based on available data, technology and platform
  • Translate unstructured business questions into quantitative problems
  • Prototyping advance analytics and machine learning solutions for business partners
  • Make intelligent approximations to the model if required to make it scalable and operational
  • Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners
  • Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Econometrics, Mathematics, Operation Research, Statistics or related disciplines
  • At least 2 years of working experience in data science with proven track record of leveraging large amount of data to drive significant business impact
  • Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity
  • Experience in prototyping and productional advance analytics solutions in business
  • Must be proficient in Python. Knowledge of Java, Scala and C++ is a plus
  • Experience in it big data tools (e.g. Hadoop, Spark), as well as query languages for SQL and NoSQL
  • Familiar with machine learning algorithm and libraries (e.g. scikit-learn, XGBoost, LGBM, TensorFlow etc.)
  • Proficiency in data visualization tools, ideally Tableau

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