Senior Data Scientist
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Job Description
Senior Data Scientist building pipelines, predictive models, and AI products for High 5 Games’ gaming ecosystem. Driving player engagement, monetization, and product growth through analytics and machine learning.
Responsibilities:
- 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 while ensuring data quality, accuracy, and integrity
- Develop reporting layers including dashboards, automated reports, and notifications
- Curate raw data into meaningful structures for CRM, product, and monetization teams
- Build predictive and optimization models for 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 machine learning techniques in real-time processes
- Propose innovative approaches to real-world challenges
- Partner with and influence CRM, Server, Data Engineering, and Leadership teams to implement end-to-end solutions
- Align data projects with business goals and ROI considerations using pragmatic 80/20 thinking
- Understand and navigate game economies, monetization levers, RTPs, and related ecosystem mechanics
- Scale data science products impacting High 5 Games’ success
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, including at least one of AWS, GCP, or Azure
- Proficiency in SQL
- Strong problem-solving skills
- Resilience against difficult tasks
- Solid and effective English communication skills
- Attention to detail and 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
- Experience working with GCP tech stack
- Understanding of database design and management
- Experience developing and applying machine learning algorithms to business problems
- Experience in Java and/or C++
- Experience in AI productionisation and Agentic deployment
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