Hello! I am developing the Travel direction within the Efficiency team of Non-Financial Services at T-Bank. We create and implement algorithms that improve the economics of the ecosystem, making it more profitable for clients, more profitable for the business, and more efficient for partners through cashback, pricing, advertising, and fintech.
Currently, the team is actively growing, and we are looking for motivated middle- to senior-level analysts/DS (office/hybrid/remote, Moscow/Saint Petersburg):
- Dynamic Pricing and Promotions: Determine who, what, and how much cashback/discounts to offer, based on business goals (e.g., to increase revenue without decreasing margin). Together with the ML team, you will transition from heuristics to uplift models and RL, and build the infrastructure around these solutions.
- Advertising and Recommendation Algorithms: How partners can get more leads and orders through cashback (e.g., what rate and limits to set for cashback to attract new customers or maximize conversions).
- Search for New Business Growth Drivers: Generate hypotheses based on product research and A/B experiments, lead the creation of new features and mechanics, and bring the best ones to production.
We expect from the candidate:
- Good knowledge of mathematics and the application of mathematical statistics in work tasks
- Good knowledge of ML (for analytics/DS, understanding basic principles is sufficient)
- Confident SQL and Python skills
Will be a plus:
- Experience with Uplift Modeling
- Knowledge of basic RL algorithms
- Experience implementing ML models in production
- Familiarity with discrete optimization
- Understanding of unit economics and PNL
- Experience working in efficiency / advertising / risk teams
