Join Burny Games — a Ukrainian company that creates mobile puzzle games.
🔥 Our mission: To challenge players’ minds every day with innovative, high-quality gaming experiences.
What makes us proud?
- In just two years, we've launched three successful mobile games worldwide: Playdoku, Colorwood Sort, Colorwood Words. We have paused some projects to focus on making our games better and helping our team improve.
- Our games have been enjoyed by over 10 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: iOS, Android
🚀 Top Titles:
🎨 Colorwood Sort – #1 sorting game
📝 Colorwood Words – made in 71 days
🧩 Colorwood Blocks – unique art & gameplay
🧩 Playdoku – our first top game
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 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.
