Associate Data Scientist / Data Scientist

Posted 9 months ago

Unicorn Studio is seeking a talented, experienced, and collaborative Associate Data Scientist / Data Scientist to join our core team developing high quality AAA games and cinematic animations. The ideal candidate will dig deep into our Unity game data. Visualizing database. Implement and improve the game bot. Working with our Game Developer to implementing end-to-end features, and delivering high quality content to our game players and audiences. 


  • Bachelor’s degree in Computer Science, Econometrics, Mathematics, Operation Research, Statistics or related disciplines
  • Minimum 2 years’ work 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
  • Exposure to Amazon AWS core services such as S3, EC2, API Gateway, and Lambda is advantageous
  • Experience in prototyping and productionalizing advance analytics solutions in business
  • Must be proficient in C#. Knowledge of Java, Scala, Python 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
  • Experience with MLOps and DevOps solution architecture design is a plus
  • Understands common software engineering best practices such as is a code versioning, test-driven development, and code modularization
  • Contribute to the growth of a startup studio.


  • Translate unstructured business questions into quantitative problems
  • Prototyping advance analytics and machine learning solutions for business partners
  • Provide advanced analytics support and advise on appropriate analytical models based on available data, technology and platform
  • Make intelligent approximations to the model if required to make it scalable and operatable
  • 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

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