This job listing expired on Oct 9, 2020
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Work location: We are open to discuss working in Germany, the Netherlands, France or UK.

This position will be responsible for building up an analytical team of 4-5 members.

Responsibilities:

  • Build, develop and lead Europe Data Scientist team to achieve business goal;
  • Build and maintain the relationship with business teams, to build the reputation of analytical team
  • Navigate around the complexity of the project, to understand questions, blockers and challenges faced by business teams, and then to define actionable analytical proposals/solutions
  • Perform multi-dimensions analysis and produce meaningful insights and recommendations to improve game design, player acquisition, retention and monetization
  • Design, build and support reusable data analysis structures or platform within the technical environment;
  • Enable self-service analytical capability for key technical stakeholders
  • Develop analysis strategy, perform analysis of complex scenarios and AB- tests, systematically or on a one-off basis
  • Deliver and implement robust modelling for measuring and assessing business and game KPIs, such as churn model, financial forecast models, LTV model, etc.
  • Design, build and manage periodical business reporting of games; work across multiple teams to identify and present high-level analytics to key-stakeholders and executives

Requirements：

  • Major in a relevant technical \ mathematical\statistical field; Master’s degree and above is plus
  • At least 5 years’ working experience, team management experience is a plus
  • Excellent skills in communication, collaboration, and presentation; working experience in consulting firm is a plus
  • Rich experience in manipulating, transforming, and analyzing complex data at large scales. Strong ability of Hive SQL, Spark, Python, R etc.
  • Professional experience in gaming and data analysis. Exceptional analytical, quantitative, modelling, machine learning, deep learning, problem-solving and critical thinking skills
  • Ability to understand the problems and issues in games, then define the right data, analysis or interpretation leading to the right recommendations and decisions
  • Ability to learn quickly and work in a fast paced and collaborative environment