Data Scientist

Performance Analysis & Monitoring

• a) Analyze live metrics for existing AI projects features and strategic initiatives, rapidly diagnosing any deviations or anomalies in KPIs.
• b) Conduct A/B test evaluations and cohort analyses to forecast and compare potential future feature/strategy outcomes.

Dashboard Development & Visualization

• a) Design, develop, and maintain interactive dashboards using BI tools (e.g., Tableau, Power BI, Looker) to visualize key metrics, AI model outputs, and operational KPIs for stakeholders.
• b) Optimize dashboard performance and usability, ensuring real-time data updates, intuitive navigation, and responsive layouts.
• c) Enable self-service analytics by providing training materials, documentation or even ChatBI.

Support Business and Uncover New Opportunity

• a) Engage deeply with cross-functional stakeholders (e.g., sales, operations, marketing), gathering detailed research questions and translating them into analytical projects.
• b) Deliver concise, data-backed reports and presentations that guide decision-making.
• c) Use exploratory analysis to uncover new business opportunities and recommend strategic data-driven roadmaps.

Data Solution Design & Implementation

• a) Partner with Product Managers and Engineering teams to define optimization product strategies and design predictive or prescriptive models.
• b) Take ownership of end-to-end deployment—wrapping models in reproducible pipelines, overseeing validation, and monitoring live performance.
• c) Design data analysis functionality with latest AI tech or tools to improve business operation efficiency.

Data Governance & Prompt Engineering Ability

• a) Coordinate with Data Engineering and IT to ensure seamless data ingestion, quality controls, and governance standards.
• b) Able to use and optimize the prompts to GenAI models to achieve better.