We’re looking for a Senior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly team-oriented—you’ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.

The ideal candidate will have a solid quantitative background, specifically including a mature understanding of statistics, logic, measurement theory, linear algebra and practical, demonstrated experience in modeling and machine learning. Further, strong analytical and problem-solving and troubleshooting skills are required; fluency in coding, algorithms, and systems design; clean and effective communication skills; genuine interest in solving complex problems. A resilience against failure and constructive criticism to iterate through difficult problems efficiently.

You’ll thrive here if you combine strong quantitative expertise with a curious, problem-solving mindset, the ability to work in ambiguous, evolving contexts,



and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games

What You’ll Do
- Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.
- Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.
- Develop reporting layers—dashboards, automated reports, and notifications—to deliver insights across teams.
- Curate raw data into meaningful structures for CRM, product, and monetization teams.
- Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.
- Define and execute multivariate testing frameworks to optimize product and campaign performance.
- Explore and apply

📌 Senior Data Scientist (India)
🏢 High 5 Games
📍 India