Data Scientist

Join Burny Games — a Ukrainian company that creates mobile puzzle games. Our mission is to create top-notch innovative games to challenge players’ minds daily.

What makes us proud?

In just two years, we’ve launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
Our games have been enjoyed by over 45 million players worldwide, and we keep attracting more players.
We’ve created a culture where we make decisions based on data, which helps us grow every month.
We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.

What are you working on?

Genres: Puzzle, Casual
Platforms: Mobile, iOS, Android, Social

Team size and structure?

130+ employees

Key Responsibilities

Build and maintain ML for product and marketing teams
Develop predictive systems for personalization, recommendations, and dynamic game content
Automate data workflows and create reliable, scalable ML pipelines from feature engineering to deployment
Monitor model performance, detect drift, and ensure ongoing accuracy and stability of ML systems
Partner with Product, Marketing, and Engineering to integrate ML solutions into live games and operational workflows
Own DS/ML projects end-to-end: from defining the problem to production deployment and iteration
Share knowledge, conduct code reviews, and promote best practices across the data team

About You

4+ years of experience in Data Science or ML, with a track record of delivering production models (2+ years in gamedev or consumer apps businesses)
Strong background in statistical modeling, forecasting, and machine learning
Advanced programming skills in Python or R (pandas, numpy, scikit-learn, PyTorch/TensorFlow or tidyverse, caret, mlr), writing clean and maintainable code
Excellent SQL skills, confident with large-scale datasets and cloud data warehouses (BigQuery, Snowflake, Redshift)
Experience deploying, monitoring, and maintaining ML models in production environments
Strong problem-solving mindset, able to translate business and product goals into ML solutions
Clear communicator who can explain complex models and systems to both technical and non-technical teams
Passion for gaming and curiosity about player behavior

Will Be a Plus

Experience building user-level LTV forecasting models
Background in recommender systems, personalization, or contextual bandits
Familiarity with MLOps practices and tools
Experience with ETL/orchestration frameworks (dbt, Dataform, Airflow)
We run on GCP — experience with BigQuery, Vertex AI, Pub/Sub, and Cloud Run/Functions

What We Offer

100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
A team of the best professionals in the games industry.
Flexible schedule [start of work from 8 to 11, 8 hours/day].
L&D center with courses.
Self-learning library, access to paid courses.
Stable payments.

The Recruitment Process

CV review → Interview with TA manager → Interview with Head of Analytics → Final Enterview → Job offer

If you share our goals and values and are eager to join a team of dedicated professionals, we invite you to take the next step.

Data Scientist

Key Skills

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