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Identify key challenges and opportunities in our games and data products. Define KPIs and metrics to track the success of data initiatives. Translate informal requests into formal, structured problem definitions. Design appropriate solutions that balance complexity, resources, and time constraints. Analyze large-scale datasets to extract actionable insights. Collaborate with Data Engineering to develop and deploy impactful data products aligned with our strategic goals. Design, implement, and maintain machine learning pipelines and services using ML Ops best practices. Apply software engineering principles to build robust, scalable, and maintainable data systems. Communicate findings clearly to technical and non-technical stakeholders, fostering a data-driven culture. Research and prototype new technologies, creating proof-of-concepts and scalable implementations.
Requirements
Solid knowledge of statistics, probability, and scientific methodology. Hands-on experience with ML Ops (e.g., model versioning, deployment, monitoring). Strong software engineering background, including experience with testing, CI/CD, and production systems. Working knowledge of core machine learning methods. Proficiency in Python and SQL; experience with version control systems (e.g., Git). Experience with scientific computing libraries (Jupyter, NumPy, Pandas, SciPy, Matplotlib, scikit-learn). Familiarity with cloud platforms such as AWS. Excellent communication skills, especially when explaining technical concepts to non-technical audiences. Ability to work both independently and within cross-functional teams. Passion for games and a proactive approach to continuous learning and improvement. Comfortable in a fast-paced, dynamic environment. Intellectual curiosity, persistence, and humility.
Nice to Have
Knowledge of game development, game design, or game programming. Experience deploying ML models at scale in production environments. Proficiency with statically typed languages (e.g., C++, C#, Java, Scala). Understanding of complex systems and distributed architectures.
As a Data Scientist at Fanatee, you will apply statistical and computational techniques to analyze data, design and implement machine learning models, and build end-to-end data products. From ideation to deployment, your work will help solve complex and essential business challenges in the gaming industry. You’ll collaborate with multidisciplinary teams including Game Design, Art, Engineering, and Marketing.This position also requires strong software engineering skills and hands-on experience with ML Ops practices to ensure the scalability, reliability, and maintainability of data solutions in production environments.
What We Offer
- Competitive salary
- Flexible benefits
- Health and dental insurance
- Profit sharing
- Career development support
- Casual and friendly work environment
- Snack station with fruits, drinks, and more
Ready to join us?
Be part of a focused, fun, and innovative environment that breathes gaming culture — apply now!
Key Responsibilities
