Burny Games – a Ukrainian mobile game company creating high-quality puzzle games loved worldwide.
Our mission: To create top-notch innovative games to challenge players’ minds daily.
Everything you build here – millions of players will see and feel every day. No corporate nonsense culture, no drama, only sparkling eyes, curiosity and people who genuinely love what they do.
What we’re proud of
- In just two years, we’ve launched several successful titles: Playdoku, Colorwood Sort, Colorwood Words, Colorwood Blocks, Colorwood Associations and more
- Our games have been downloaded by over 55 million players globally
- Our titles reach #1 positions in app stores and consistently enter top-10 charts in multiple countries
- We make data-driven decisions and iterate constantly to deliver better player experiences
- We foster a culture of creativity, ownership, and continuous growth
What we do
- Genres: Puzzle, Casual
- Platforms: iOS, Android
Key Titles
Team size and structure?
100+ 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 game development or consumer apps businesses].
- Strong background in statistical modelling, 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 behaviour.
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 Interview → 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.
