ML Research Engineer / Data Science Engineer

What you will do

• Prepare and analyze in-game and advertising data.
• Build ML models for predicting “monetary” events, striking a compromise between performance (both learning and prediction) and accuracy.
• Develop strategies/distributed systems for optimal budget spending.
• Analyze and build ML models and heuristic approaches to cut off fraudulent traffic.
• Analyze user history from ad auctions using the unsupervised approach.
• Conduct A/B tests for model versions.

What you need to succeed

• Required work experience: 1–3 years.
• Basic algorithmic training: knowledge of basic algorithms and data structures, as well as their implementation in standard libraries.
• Strong knowledge of Python, ability to write testable codes for production processes, ability to solve analytical and data preparation tasks.
• English for reading technical documentation and analyzing professional articles.
• Knowledge of probability theory, statistics, algebra, numerical and Bayesian methods.
• Experience supporting the full life cycle of models, including analyzing raw data, generating hypotheses, creating models, conducting experiments, and introducing the results in production.
• Experience applying ML algorithms practically: linear algorithms (linear and logistic regression, etc.), compositional algorithms (random forest, gradient boosting, etc.).

Nice to have

• Knowledge of Factorization machines, SVD decomposition, and unsupervised approaches.
• Knowledge of Python libraries and basic data science.
• SQL knowledge.

We offer

• Work remotely from all around the world.
• Collaborative working atmosphere in an internal game dev community that unites more than 40 in-house and partner studios.
• A strong team of specialists across different areas — access unique expertise and professional knowledge.
• Possibility to experiment and work on interesting tasks with ambitious goals — we have all resources to implement new ideas.
• Create great games and win the hearts of players.
• Push the boundaries of the game industry and lead the way forward.