Data Scientist role focused on developing AI and ML solutions for diverse clients, including the UK government. Delivering end - to - end data science solutions while fostering professional growth.
About the role
- Senior Data Scientist at King focusing on gameplay automation and analytics to improve Candy’s core gameplay. Collaborating with Product and Engineering teams for data-driven capabilities.
Responsibilities
- Join Candy Foundation to help make Candy’s core gameplay faster, smarter, and more fun.
- Partner with Product, Engineering, and Analytics to define data‑driven capabilities across Level and Decision Automation, and Developer Experience by building detect → act → measure loops.
- Develop robust modelling and measurement for level quality and live decisioning: proxy/operational gameplay metrics, reliability checks, drift detection, and impact alignment to business outcomes.
- Build and productionize models and analytical tools that support: Automated playtesting and simulation signals, Difficulty and progression evaluation, Tweak/adjustment explainability and guardrails.
- Contribute to shared data products (datasets, features, dashboards) that improve observability of level, decision, and developer experience across games.
Requirements
- Proven track record driving impact through statistics-first data science: problem framing → rigorous experimentation → modelling → deep-dive analyses → clear recommendations.
- Strong foundations in statistics and experimentation: hypothesis testing, power analysis, variance reduction, causal reasoning basics, measurement strategy, and pitfalls.
- Proficiency in practical modelling and analytical workflows (e.g., Python/R/SQL) to run experiments, build interpretable models, and perform deep dives.
- Excellent communication and stakeholder partnership; ability to translate analysis into decisions and influence cross‑functional roadmaps.
- High standards for rigor and reproducibility (clean analysis, documentation, peer review); bias toward simplicity over unnecessary complexity.
Benefits
- Health insurance
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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