
AVP/VP, Data Scientist (Financial Service I Travel Required)
- 鰂魚涌
- 長期
- 全職
- Build and deploy advanced data models, statistical techniques, and machine learning / AI algorithms to address challenging business problems in financial services.
- Analyze massive datasets to extract actionable insights and enable data-driven decision-making.
- Design and conduct experiments to validate hypotheses, assess model performance, and enhance predictive accuracy. Continuously research innovative approaches in AI/ML and contribute to the team's knowledge repository.
- Work closely with regional teams, stakeholders, and business units to define requirements and translate business objectives into technical solutions. Act as a liaison between technical teams and business users.
- Evaluate multiple data sources, determine optimal data utilization strategies, and maintain scalable pipelines to support AI-driven project work.
- Articulate technical concepts, insights, and results clearly to non-technical stakeholders and senior leaders. Translate complex data science findings into understandable, actionable recommendation.
- Contribute to team skill-building by sharing expertise, contributing code, and guiding junior team members on best practices in data science techniques.
- Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or related fields preferred.
- Minimum 8+ yearsof relevant experience in Data Science roles with applications in financial services. Prior experience with regional or multi-geography projects is a plus.
- Proficiency in building and deploying machine learning / AI models using frameworks like TensorFlow, Keras, and Scikit-learn.
- Advanced skills in Pythonor similar programming languages, with expertise in AI libraries and production-level coding.
- Demonstrated hands-on experience with AWS, Azure, or similar cloud infrastructure services for deploying scalable AI solutions.
- Experience with big data tools like Spark, Hadoop, and relational/non-relational databases (e.g., SQL, NoSQL) is essential.
- Willing and able to travel regionally to support regional teams and cross-border initiatives.