Senior Data Scientist

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 collaborative-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 scalingdata 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 state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.
• Partner and influence cross-functional teams-including CRM, Server, Data Engineering, and Leadership-to implement end-to-end solutions quickly and effectively.
• Align data projects with business goals and ROI considerations, applying pragmatic 80/20 thinking to maximize impact.
• Deeply understand and navigate the abstract mechanics of our ecosystem-game economies, monetization levers, RTPs, and more.

Requirements:

• Master's Degree in a quantitative field
• Programming experience in a scripting language such as Python or R
• Fundamental understanding of statistics and machine learning models
• Knowledge of statistical testing, data visualization best practices, and data mining
• Familiarity with cloud computing environments and their components (at least one among AWS, GCP, Azure etc)
• Proficiency in SQL
• Strong problem-solving skills
• Resilience against difficult tasks
• Solid and effective English communication skills
• Attention to detail and ingrained affinity for sanity checks and clean delivery

Nice to have:

• PhD degree in a quantitative field or 4+ years of professional experience in a relevant field (technology/gaming/algorithms/research…)
• Experience working with GCP tech stack
• A good understanding of database design and management
• Experience in developing and applying machine learning algorithms to business problems
• Experience in Java and/or C++
• Experience in AI productionisation and Agentic deployment