Jobs at Play Perfect

Own end-to-end data science projects for a mobile gaming company, including game economy optimization, reward and personalization modeling, simulations, experimentation, causal inference, and player behavior analysis. Build AI-powered tools, develop experimentation capabilities, and translate findings into product and business recommendations while collaborating with Product, Development, Game Economy, and BI teams.

Designs engaging visual assets for monetization, CRM, social media, and VIP communications in a mobile gaming environment. Responsibilities include creating banners and short videos, developing interface visual styles, researching gaming trends, and maintaining design consistency. The role requires strong visual communication, typography, composition, animation, collaboration, communication, and feedback skills, along with expertise in Photoshop, Illustrator, After Effects, and AI tools.

Lead the BI data engineering team, overseeing data modeling, analytics processes, KPI frameworks, data quality, testing, monitoring, and reliability. Collaborate with business functions to support data-driven decisions, build and optimize data solutions, maintain scalable data structures, and establish best practices for analytics engineering and BI development.

Designs and scales A/B testing methodology across mobile games, including experiment design, statistical analysis, monitoring, readouts, and decision rules. Builds automated analytics systems, anomaly monitoring, insight generation, and LLM-powered agentic workflows. Partners with data science, BI, engineering, marketing, product, and operations teams to improve measurement, automate recurring analyses, and communicate actionable recommendations.

Leads a backend development team while owning backend system design, development, maintenance, and technical direction. The role includes approximately 30% hands-on coding, code reviews, troubleshooting, and collaboration with cross-functional teams. Responsibilities include building scalable C# backend services, managing MongoDB, Redis, and PostgreSQL databases, and developing secure, efficient RESTful APIs.

Manage and optimize the game economy, including virtual goods, currencies, pricing, rewards, progression, and monetization. Collaborate with product, development, data, and monetization teams to improve player engagement and game KPIs. Analyze data, conduct A/B tests, build simulations and predictive models, monitor economy metrics, and balance player experience with revenue opportunities across different player behaviors and progression stages.

Plan and manage weekly in-game events and campaigns to grow revenue. Use A/B testing and user-data analysis to optimize monetization while collaborating with analytics, product, design, QA, and economics. Build and refine dashboards and own project execution to deliver high-quality promotions and features.

Manage in-game monetization operations, including promotions, campaigns, pricing configurations, player segmentation, feature controls, events, and live tests. Collaborate with monetization, economy, product, and QA teams to validate configurations and monitor daily test performance. The role requires strong technical and troubleshooting skills, prioritization, English proficiency, advanced computer skills, and flexibility to work off-hours.

Lead mobile gaming user acquisition by planning and optimizing campaigns across multiple platforms, analyzing player and funnel data, running structured experiments, collaborating on ad creatives, researching competitors, and developing acquisition partnerships. The role requires strong performance marketing expertise, measurable ROAS results, advanced spreadsheet and BI skills, familiarity with AppsFlyer or Adjust, and a data-driven growth mindset.

Lead planning, launching, and optimization of UA campaigns across DSPs, SDK networks and partners. Collaborate with creative, product, and BI teams, run A/B tests, analyze funnel and player behavior, manage acquisition partnerships, and track ROAS to drive user growth.

Design, evolve, and operate a multi-cloud platform (primarily AWS) with production-scale Kubernetes, CI/CD, GitOps (ArgoCD), Terraform, observability, and SRE practices. Lead architecture for resilience, cost efficiency, and reliability, automate deployments and failovers, partner on Kafka/Airflow migrations, and improve network and FinOps.

Analyze customer behavior and large-scale datasets to detect and research complex fraud patterns and emerging threats. Develop and maintain fraud models, generate actionable insights, estimate impact, and collaborate with Product, Data Science, and Data Engineering teams to improve fraud detection and decision accuracy.