Middle Data Scientist for the development of smart pricing models for banking products. Full cycle: from data collection to productionization and A/B tests.
Tasks:
- Participation in the smart pricing project for banking products
- 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
- Productionization: containerization, integration into microservices, monitoring prediction quality
- 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 link technical solutions to business tasks, consider the specifics of the domain
Conditions:
- Interesting tasks and a friendly team
- Clients with clear tasks
- Feature Store and AutoML (out-of-the-box baseline solutions)
- Automated services for deploying models to production
- Maximum research and minimum bureaucracy and routine
