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Lead complex data science projects from initial model development through to testing, validation, and deployment. Utilize advanced predictive modeling and data processing tools to optimize customer experiences and drive revenue generation. Communicate key findings and strategic recommendations to diverse stakeholders to support data-driven decision-making. Contribute to cutting-edge research in machine learning and artificial intelligence while actively mentoring junior team members to foster organizational growth.
Responsibilities
Lead end-to-end data science projects from model development to deployment and lifecycle support
Build and maintain optimization models, forecasting algorithms, and machine learning systems
Conduct experiments and quantify metrics to solve complex business problems
Collaborate with cross-functional teams and business partners to translate data insights into actionable strategies
Communicate technical findings and recommendations to stakeholders to drive organizational decisions
Supervise and mentor junior data science staff in daily operations and technical development
Research and implement state-of-the-art data science methodologies and frameworks
Requirements
Proven experience in data science and machine learning with a focus on predictive modeling
Strong ability to work in cross-functional teams and define problems with clear metrics
Expertise in data processing tools, statistical analysis, and machine learning frameworks
Experience communicating complex findings to non-technical stakeholders
Ability to research and evaluate new tools and technologies to enhance data capabilities
Demonstrated leadership in managing projects and mentoring junior team members
Willingness to undergo a criminal record information check as a condition of employment
Nice to have
Experience working with international teams, specifically in Vietnam
Strong background in fintech or digital banking
Advanced knowledge of deep learning or specialized AI domains
Experience with cloud-based data platforms and big data technologies
Strong presentation and storytelling skills for data visualization
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