Data Scientist


About The Position

We are looking for a Data Scientist, who will have a huge impact on our business and our games which are played by hundreds of millions of users!

Our Data Science team uses our unique and extensive data to model and predict user behavior and optimize processes. You will own a business-oriented attitude with a proven track record of leveraging business decisions by data-driven scientific research.  

You will develop and implement our statistical methodology and building models for LTV, churn, user behavior, and segmentation. In addition, you and your team will invent and build software systems that utilize state of the art algorithms from AI and ML to solve the hardest problems facing our products.



  • Determine DS goals that have an impact on the company and business KPIs.
  • Solve challenges by executing sophisticated quantitative and advanced modeling to deliver actionable insights
  • Own the company’s data modeling efforts and data systems including Data-Lake, warehousing, ETL.
  • Deliver analytical and statistical models and compelling insights to influence decisions and roadmaps. 
  • Partner with Business, Marketing, Content, and Product teams to provide high-impact insights and promote data-driven decision-making.
  • Analytically support growth engines (providing analysis and algorithms)



  • 2+ years of experience in data science.
  • Experience in Python and SQL – A must.
  • Experience in ML and DL tools and Statistical models.
  • Experience with large DWH systems and BI solutions relying on the data infrastructure – Advantage
  • Hands-on experience with big data environment, tools and data modeling - Advantage
  • Proven track record in similar roles, in B2C companies, preferably in the gaming industry.
  • Knowledge/experience in optimization and testing space - (A/B) split tests, multivariate tests.
  • Cloud Al services - Big Advantage. 

What we offer:

  • Private health insurance from the first day
  • Paid sports activities
  • Holiday and Special Occasions Gifts (Childbirth, Weddings, Birthdays, Women’s day, Xmas and more
  • Company yearly trip (overnight)
  • Gathering events
  • Working with latest technologies
  • Technical and soft skills trainings
  • Competitive salary
  • Referral bonuses
  • Breakfast and lunch provided in office
  • Amazing offices!
  • Monthly budget for transport or Electric scooter.

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