Data Scientist

The Company

We are a fast-growing, dynamic B2C gaming startup dedicated to redefining the digital entertainment landscape. By leveraging cutting-edge technology and data-driven insights, we build immersive, high-impact gaming experiences that captivate millions of players globally. Our culture is fueled by innovation, speed, and a passion for creating the next generation of interactive mobile entertainment.
*Please note that this is a full-time position requiring 5 days a week on-site from our Tel Aviv office (not hybrid).

The Role

As a Data Scientist, you will play a pivotal role in shaping our gaming ecosystem by embedding advanced intelligence into our products and operations. You will bridge the gap between complex algorithms and player experience, building production-grade AI systems that directly influence user engagement, monetization, and game mechanics. This is an opportunity to own high-impact projects from ideation to deployment in a highly iterative, fast-paced environment.

Description

• Design, develop, and deploy machine learning models, including agentic AI systems and LLM-powered pipelines to solve business problems and improve product performance
• Conduct statistical analysis and A/B testing, applying principles of inference and probability to generate actionable insights
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• Communicate complex findings clearly through presentations and visualizations, supporting both technical and non-technical stakeholders
• Build scalable data pipelines and monitoring systems to evaluate the health and performance of deployed models in real-time
• Explore emerging AI methodologies and frameworks to continuously upgrade our gaming optimization toolkit
• Translate abstract player behavioral data into concrete algorithmic solutions that drive core business metrics

Requirements

• BSc in Mathematics, Statistics, Bioinformatics, or a related field
• MSc in a highly quantitative field - advantage
• 2+ years of hands-on experience in developing and deploying ML models into production environments
• Experience building AI agents and pipelines using frameworks like Google ADK, LangChain, or LangGraph
• Familiarity with LLM APIs and prompt engineering best practices
• Proven experience with statistical modeling, inference, and probability theory
• Strong background in A/B testing and experimentation design
• Strong communication and presentation skills
• Experience in the gaming industry - advantage