Role overview
We are looking for a passionate Data Scientist to join our Data Science & Machine Learning Operations team (part of the Enterprise ML Platform and Operations department).
We are a full-cycle team that designs and builds AI/ML-powered product prototypes, brings them into live production, and continuously maintains, monitors, and enhances them.
What you'll work on
Your work will have an impact on players of Wargaming’s flagship titles, including World of Tanks and World of Warships, as well as empower internal teams by enhancing their tools and processes.
Being part of a full-cycle team brings the unique challenge—and joy—of creating production-grade AI/ML solutions from day one. This means holding a high bar for feature engineering, model development, and code quality. If building robust, production-centric AI/ML systems motivates and challenges you, we encourage you to apply.
What we're looking for
- Advanced degree in Computer Science, Mathematics, Statistics, Data Science or another quantitative field.
- Experience with deep learning techniques for image processing and generation.
- Experience with time series analysis and forecasting.
- Experience with natural language processing (NLP).
- Familiarity with the Snowflake ecosystem (as both a data warehouse and AI/ML platform).
- Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
- Experience with Python-based visualization frameworks (e.g., Dash, Streamlit).
- Experience working in cloud environments, preferably AWS (e.g., SageMaker, EC2, Fargate, ECS)
- Familiarity with Docker, Git, and CI/CD pipelines and related tooling.