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We are seeking a **Data Science Team Lead** with expertise in banking/fintech to lead a high-performing DS team. This position combines advanced ML knowledge, team leadership, and cross-functional collaboration to drive data-driven solutions in scorecard development, portfolio risk management, and model performance monitoring.
**Key Responsibilities:**
* Advanced ML Development and Deployment:
* Build and refine ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
* Manage AI initiatives, including integrating external AI services.
* Oversee the lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
* Team and Stakeholder Management:
* Lead and develop the DS team through hiring, training, and performance management.
* Collaborate with risk, collection, and business teams to align DS projects with organizational needs.
* Facilitate communication and prioritize tasks to meet stakeholder expectations.
* Process and Tool Optimization:
* Manage tools and processes such as Git, Jira, Confluence, and Agile workflows.
* Ensure data reliability and stability through collaboration with DWH teams and feature-store administration.
* Drive integration and optimization of new and existing data sources.
* Knowledge and Standards Management:
* Maintain comprehensive project documentation and implement best practices.
* Oversee knowledge-sharing initiatives, including Confluence updates, Git documentation, and internal training.
* Stay ahead of industry trends and methodologies, introducing innovative tools and processes.
**Requirements**
* Technical: Python, SQL, ML techniques (regression, classification, boosting, NLP/LLM)
* Tools: PowerBI, Excel, Tableau, Git, AWS (preferred), MLOps experience
* Soft Skills: Team leadership, excellent communication, agile expertise, and risk analytics experience (preferred)
* Languages: Fluent English and Russian
**Preferred Qualifications:**
* Educational background in mathematics, machine learning, or statistics
* Proven experience in fintech and banking, particularly in emerging markets
* Experience with AI-tools
* Expertise in ML for text, speech, and behavioral analytics or dynamic models in the card business
**Benefits**
* Flexible and completely remote full-time role
* The opportunity to work in an innovative fintech company with a global reach
* Engaging tasks and the chance to influence the development of cutting-edge products
* The opportunity to grow your skills in a global, distributed team environment