Data Scientist for a smart banking product pricing project. Full cycle of model development, including uplift models, A/B tests, and productization.
Tasks:
- Participation in the smart banking product pricing project
- Full cycle of model development: data collection and preparation, exploratory analysis, building uplift models, their validation and evaluation
- Planning and analysis of A/B tests, assessment of business impact
- Productization: containerization, integration into microservices, prediction quality monitoring
- Collaboration with business analysts, product managers, and data engineers
- Preparation and delivery of demos to clients
- Support and adaptation of the model to changing data and business conditions
Requirements:
- Middle DS with full cycle development experience (uplift models as an advantage)
- Deep knowledge of mathematics and statistics
- Experience with machine learning libraries and frameworks
- Developed critical thinking, ability to formulate and test hypotheses
- Teamwork skills and effective interaction with related specialists
- Ability to present analysis results clearly and understandably, explain complex things in simple terms
- Ability to connect technical solutions with business tasks, consider the specifics of the domain
Conditions:
- Work experience: 1–3 years
- Work format: remote
Skills:
- Machine Learning
- Uplift Modeling
- A/B Testing
- Mathematics
- Statistics
- Containerization
- Microservices
