Data Scientist

At Agave Games, we create games that reach and inspire millions of players around the world. We’re a passionate, product-driven studio with a sharp focus on quality, creativity, and player satisfaction.

We’re looking for a Data Scientist to join our growing team and play a key role in shaping the future of our live games and upcoming titles. You’ll be the bridge between data and creativity, collaborating closely with product managers and engineers to make decisions players will actually feel, helping us craft experiences that are not just fun to play, but meaningful for millions worldwide.

Responsibilities

• Analyze player, engagement, game economy, and monetization data to generate actionable insights that shape product decisions and game roadmaps.
• Work closely with Product and Engineering teams to build models for game features and levels.
• Design, run, and analyze A/B tests and experiments to validate hypotheses and measure feature impact.
• Build and own dashboards, reports, and ad-hoc analyses that enable Product, Marketing, and Growth teams to make data-informed decisions.
• Develop and optimize data pipelines.
• Build predictive models and conduct advanced analyses to understand player behavior and future trends better.
• Stay up-to-date with industry trends, best practices, and emerging tools in data analytics and data science.

Requirements

• Experience in data analytics or data science, preferably in mobile gaming or digital product environments.
• Strong skills in SQL and proficiency with Python or R for data analysis.
• Experience with A/B testing, experimentation frameworks, and statistical analysis.
• Hands-on experience with visualization tools such as Tableau, Looker, Power BI, or Metabase.
• Understanding of player behavior analysis, LTV, or retention metrics is a plus.
• Strong communication skills, able to translate data into insights that resonate with both creative and technical teammates.
• Passion for games and curiosity about what makes players come back for more

Bonus Points

• Experience with Snowflake, Airflow, or other modern data-stack tools.
• Interest in machine learning applications and predictive modeling.
• Exposure to performance marketing data or user acquisition (UA) analysis.

Life at Agave Games

• Private health insurance
• All-day meals and healthy snacks at the office, prepared by professional chefs
• Free access to the on-site gym to support a healthy lifestyle
• Relocation support is provided when needed
• Continuous learning and professional development opportunities
• Fun and inclusive team events and activities
• Centrally located office in Istanbul with easy access to public transportation