We are looking for a DS engineer for the Wildberries internal antifraud team to develop production ML systems for detecting fraud and anomalies.
Tasks:
- Develop ML models for detecting fraud and anomalous behavior
- Work with large volumes of data: logs, transactions, text, and multimodal data
- Independently form datasets, search for signals, and test hypotheses
- Integrate LLM tools and modern ML approaches into applied security tasks
Requirements:
- Experience in developing ML models and deploying them to production (ideally)
- Proficient in Python and SQL
- Good understanding of classical ML and data handling
- Readiness to take ownership of tasks and propose new approaches
- Product thinking and interest in applied tasks
Conditions:
- Full remote work (offices with free food are available if desired)
- Salary range: from 200k to 350k+ ₽ net, depending on experience level
- Strong ML infrastructure and real high-scale production tasks
- Great freedom in choosing approaches and technologies
- Access to large volumes of data and the opportunity to directly influence product and business metrics
Skills:
