Responsibilities:
- Develop and implement risk management systems (fraud detection, anomaly detection, loss prevention)
- Build and optimize pricing models (key responsibility area)
- Analyze purchase and sales data to identify patterns and growth opportunities
- Automate decision-making processes using Data Science / AI
- Design control systems, including “kill-switch” mechanisms to minimize risks
- Optimize the speed and quality of inventory purchasing
- Evaluate skin pricing and drive product analytics
- Work with marketplace data: collection, parsing, processing, and market cap analysis
Requirements:
- 3+ years of experience in Data Science / Data Analytics
- Understanding of gaming skins marketplace principles (CS2, Dota 2, Rust)
- Advanced SQL skills
- Experience with big data tools (Spark / BigQuery / ClickHouse is a plus)
- Hands-on experience in one or more of the following areas:
- risk / fraud detection
- pricing / trading systems
- marketplace analytics
- Understanding of A/B testing and key product metrics
Nice to have:
- Strong Python skills (pandas, numpy, sklearn / pytorch)
- Experience with real-time systems (Kafka, streaming)
- Background in fintech / trading / gambling / marketplaces
- Experience working with APIs and production systems
- Experience with Steam API or gaming skins data