Data Scientist

Description Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv.

With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level.

As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.

As we expand, we're looking for a hands-on Data Scientist to own research, experimentation, and simulation. You’ll independently drive projects from business question to product recommendation, combining strong statistical skills, creative thinking, and fast execution. Working closely with Product, Development, Game Economy, and BI, you’ll help shape game mechanics and improve player and business outcomes.

Responsibilities

• Own data science projects end to end, from defining business questions and success criteria to building, deploying, and maintaining solutions that deliver actionable insights and business impact.
• Analyze and optimize game economies, balancing player experience, engagement, and business performance.
• Design and evaluate reward systems, personalization mechanisms, and game features using statistical modeling and simulations.
• Lead A/B testing initiatives, including experiment design, analysis, and interpretation of results, and develop reliable experimentation tools.
• Apply statistical and causal inference methods to understand player behavior, evaluate product changes, and support decision-making.
• Develop and maintain AI-powered tools and solutions to improve business processes and team efficiency.
• Communicate findings clearly to technical and business stakeholders, document methods and decisions, and collaborate with cross-functional

Requirements

• 3+ years of experience in Data Science, Applied Statistics, or a similar analytical role.
• B.Sc. or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Strong statistical foundation, including experimental design, hypothesis testing, and A/B testing.
• Experience with simulations, probabilistic modeling, and data-driven decision-making.
• Strong Python and SQL skills for data analysis, modeling, and development.
• Ability to independently lead projects end to end, with strong problem-solving and communication skills.
• Experience with causal inference, machine learning, or game economy – an advantage.
• Experience building AI agents or deploying analytical applications – an advantage.