- Collaborate with various stakeholders to understand business objectives and challenges.
- Translate business problems into well-defined data science solutions with measurable objectives and deliverables.
- Apply machine learning, statistical modeling, and data analysis techniques on large and complex tabular data and draw insights with actionable recommendations.
- Work with business, engineering and risk management teams to implement end-to-end process from model development to testing, validation, deployment and lifecycle support.
- Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.
- Research, study and develop new tools and new frameworks to enhance our data science capabilities and drive our customers’ data mindset and strategy.
- Discover and harness new ideas to fertilize new discoveries that can make a difference.