
Data Scientist
Playstudios
- תל אביב
- משרה קבועה
- משרה מלאה
- Build & Own AI Products: Own and maintain existing ML/GenAI pipelines and data services that power personalization and segmentation.
- Data Science tools: Design and create tools and data products to support decision making – including smart reports, insights, forecasts, anomaly detection, A/B-testing, and applications using ML and GenAI.
- Develop Models: Build and deploy ML models (e.g., regression, classification, recommendation, forecasting) and continuously monitor their performance.
- Collaborate Globally: Partner with game studio teams, R&D, and marketing to drive initiatives that span multiple games and regions.
- Mentor & Guide: Act as a thought partner to junior data professionals and provide guidance on data best practices, ML usage, experimentation, and business impact.
- Support GenAI Strategy: Contribute to company-wide efforts to adopt AI and GenAI tools, including internal enablement and product integration.
- Own from End to End: You’ll be hands-on from prototyping to deployment and monitoring in production – no throwing code over the wall.
- Work with high autonomy and direct impact on player experience and company growth.
- Be part of a central team shaping how AI and data are used across all our games.
- Collaborate with smart, humble people across disciplines.
- Help define and drive our AI/ML/GenAI direction across the company.
- MSc degree in Computer Science, Data Science, AI/ML, Statistics, or equivalent
- 3–6 years of experience as a data scientist, machine learning engineer, or similar role.
- Strong SQL and Python skills – you know how to write clean, reusable, and tested code.
- Experience building production-ready models and data pipelines (bonus: Airflow, MLflow, S3, Snowflake, BigQuery, Docker, GitHub, FastAPI, APIs).
- Hands-on experience with experiment design, A/B testing, or causal inference.
- Comfortable navigating ambiguity, independently prioritizing work, and driving alignment.
- Excellent communication skills – you can translate business needs into analytical solutions and explain complex findings to non-technical stakeholders.
- Experience in gaming, mobile apps, or other consumer digital products is a strong plus.