Senior Data Scientist

Job Purpose
- The job holder also participates in strategic deicion circles and contributes to guiding business high level andproviding strategic data guidance
- The job holder proposes, initiates and manages mutliple ML projects together with business in order toaddress problems raised before linked to company OKRs and product enhancements using DS methods,processes and systems on unstructured, diverse Big Data sources.
- The job holder is required to allocate resources, decide strategically on projects and then cascade down toleads
Key Accountabilities (1)
Data Solutioning
- Drive application of machine learning and big data techniques across different journeys and squads.
- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advanceanalytics solutions across the firm including recommendation engines, customized data models, etc.
- Evaluate effectiveness of proposed models and track business performance KPIs against data model.
- Manage, execute, and review complex data science projects in an agile manner and in compliance withinternal regulatory requirements.
Key Accountabilities (2)
Data Insighting
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadatasources together with business partners.
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applicationsto improve work efficiency.
- Proactively lead discussions in 3+ squads to identify questions and issues for data science
- Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
- Know at all times your data (size, average, distributions, outliers, CR, etc) and be able to estimate modeloutput, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results)
Key Accountabilities (3)
Project Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at highperformance.
- Own the project, manage POs, keep everyone on track from distractions, aligned towards lowest hanging fruitand KPI
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and rootcause analysis to help squads continuously improve their practices to ensure maximum productivity.
Talent Development
- Mentor and coach junior fellows into fully competent Data Scientists.
- Manage allocated team, focus on retention and growth of the scientists, personal development and KPI
- Identify and encourage areas for growth and improvement within the team.
Key Relationships - Direct Manager
Director, Data Science
Key Relationships - Direct Reports
NA
Key Relationships - Internal Stakeholders
Teams within the Data Office and relevant departments in the Bank
Key Relationships - External Stakeholders
Partners and vendors providing professional services

Thu nhập cơ bản tối thiểu (chưa bao gồm incentive) từ 1x triệu VNĐ/tháng
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Data Analysis, SQL, Python, Database Research