Tasks:

• Developing a model to predict the revenue generated by players during their lifetime (LTV)
• Testing hypotheses and identifying patterns in user acquisition
• Participating in the implementation of automated acquisition tools

Requirements:

• Confident proficiency in SQL
• Strong knowledge of mathematical statistics and the ability to apply it in practice
• Confident proficiency in Python and data processing libraries (pandas, scipy, numpy, scikit-learn, etc)
• Ability to clearly present the results of your work, communicate them to the team in accessible language, and argue and defend your point of view
• Proactivity and a desire to work towards results
• Would be nice:
• Knowledge of the subject area: understanding of acquisition principles and traffic attribution, basics of advertising network operations
• Experience and interest in building machine learning models
• Personal qualities:
• We expect you to be able to work independently and be responsible for the results
• We are a team, so you need to be able to make joint decisions and negotiate
• You have product thinking, can set goals, and break them down into tasks

Conditions:

• Flexible work format. You can go to the office in Vilnius or Limassol, or work remotely. The main thing is to be online during working hours
• European employment. We've got jobs in Lithuania, Georgia, Montenegro, and Cyprus. You can choose whichever location best suits you
• Development. We offer English classes with a teacher, pay for professional conference trips, and partially compensate for training
• Flexibility. Sometimes you want something new. We get it—we'll support you if you want to change positions, responsibilities, or projects
• Collaborative solutions. Each team member's skills are important, so we listen to and hear each other
• Data reliance. We take everyone's opinions into account, but all product decisions are based on metrics, which means no subjectivity
• And the usual—official employment, voluntary medical insurance, compensation for sports