Senior Data Scientist

🕒 March 25

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High 5 Games

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

🎮 Gaming

🎲 Gambling

🤝 B2B

Gaming • Gambling • B2B

High 5 Games is a developer and supplier of casino slot games and related platform services. The company creates and distributes dozens of online and land-based slot titles (over 150), offers progressive jackpots and in-game promotion tools, and provides a casino platform and game-studio solutions for operators and partners. High 5 Games serves regulated casinos and online operators with both B2B integrations and player-facing social/real-money experiences.

📋 Description

• 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