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The ideal candidate will have a quantitative background, a good understanding of statistics, logic; clean and effective communication skills, an understanding of python and a genuine interest in solving complex problems. A desire to learn quickly and iterate through difficult problems efficiently.
You’ll thrive here if you combine quantitative curiosity, a 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 state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.
- Deeply understand and navigate the abstract mechanics of our ecosystem—game economies, monetization levers, RTPs, and more.
- 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, and data mining
- Proficiency in SQL
- Strong problem-solving skills
- Resilience against difficult tasks
- Solid and effective English communication skills
- Attention to detail
- Post Grad/Masters degree in a quantitative field or 1+ years of professional experience in a relevant field (technology/gaming/algorithms/research…)
- Experience working with GCP tech stack
- An understanding of database design and management
- Experience in developing and applying machine learning algorithms to real problems
Key Skills
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