Data Scientist

Being a part of such a fast-moving industry as iGaming, the company knows no limits and is growing rapidly through its dedication to innovation and constant improvement. This is the reason why we are expanding our Platform Department team and now we are looking for some fresh and enthusiastic people to come and join us in the exciting digital world of iGaming.

Responsibilities

  • Conduct players& activity analyses (identifying patterns of gameplay, timing, size of bets, game choice, etc.
  • Analyze and create new game release reports, comparing the performance of the new games to other releases, in terms of finances, play activity, user engagement, etc.
  • Build and maintain high-quality predictive models aiming to forecast user engagement, based on game-specific features and past performance
  • Conduct tests to investigate and report on potential causal relationships that will allow us to better understand what features make a game successful
  • Collaborate with mathematicians to understand the features that make up the mathematical model of a game
  • Partner closely with product managers, game development, partner managers, and other teams across the studio to identify the most impactful business problems and opportunities through data-driven intelligence
  • Ensure data consumers have access to the data and reporting they need
  • Take pride in the quality of your work output. Your code, analyses, and documentation all reflect that of someone who is extremely detail-oriented

Requirements

  • Bachelor’s degree or equivalent work experience in Statistics, Mathematics, Computer Science or a related discipline
  • Experience in Applied Statistics, Machine Learning, and Data Mining to identify hidden patterns in data, perform statistical tests, as well as build, validate, and maintain models
  • Detailed knowledge about the most popular Machine Learning methods, frameworks, and approaches to supervised and unsupervised learning
  • Knowledge of Discrete Mathematics, Combinatorics, and Probability & Statistics
  • Experience in Python, including machine learning and data analysis libraries, such as NumPy, sciPy, Pandas, Matplotlib, Sklearn, TensorFlow, PyTorch, Keras
  • Ability to work with relational database systems and knowledge of SQL
  • Strong coding skills

What we offer

  • Competitive salary
  • 13th Salary
  • Performance evaluation & salary review twice a year
  • 25 days paid annual leave
  • Work from home option -2 days weekly
  • Flexible working schedule
  • Additional health insurance – premium package
  • Fully paid annual transportation card
  • Fully paid Sports card
  • Free company shuttle by the office
  • Sports Teams/Sports events
  • Professional development, supportive company culture, and challenging projects
  • Company-sponsored trainings
  • Tickets for conferences and seminars
  • Team building events and office parties
  • Referral Program
  • Free snacks, soft drinks, coffee, and fruit are available always
  • Birthday, newborn baby, and first-grader bonuses
  • Corporate discounts in various shops and restaurants
  • State-of-the-art modern office
  • Positive working environment and chill-out zone (PS4, table tennis, foosball, and lazy chairs)

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