• Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. • Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. • DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. • Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. • ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. • ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). • Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation.

- Lead the BI analysts team: distribute tasks, monitor deadlines, support career and professional development. - Act as the main point of contact for stakeholders (business units, product, finance, operations), identify their needs, clarify and formalize requirements for reporting and analytics. - Own and develop the user layer of the data warehouse: marts and business layer, ensure consistency and "single source of truth" for business users. - Minimize duplication of reports and metrics: introduce and enforce naming standards, KPI backlog, report and metadata catalog, monitor their relevance. - Organize and manage the process of accepting requests for reports and analytics, as well as prioritization within the business plan. - Monitor the quality and stability of reporting: send alerts, investigate incidents, participate in discussions of SLA and BI report metrics.

• Analyze complex financial data • Develop tailored tax resolution strategies • Work directly with the IRS to secure outcomes • Review clients’ financial analyses, recent tax returns, IRS transcripts, and other key data. • Prepare customized resolution options for clients to choose from. • Conduct compliance calls to gather missing information or track IRS processing. • Negotiate with ACS to establish resolutions | Installment Agreements, Partial Pay Installment Agreements, Currently Non-Collectible status, Step-Installment Agreements, Penalty Abatement requests • Advocate for clients with creativity, empathy, and unwavering integrity.

• Contact clients and collect outstanding payments • Communicate with customers to encourage them to pay their debts • Maintain trustful relationships while ensuring timely payments