Data Scientist / Analyst
We are looking for an Analyst who will be responsible for developing pricing models, analyzing data, and managing product risks.
You will work with large datasets, build control systems, automate decision-making processes, and collaborate with product and technical teams.
If you have experience in data analytics and can turn data into actionable insights — we would be happy to have you on our team.
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