Alamat
Bentuk pekerjaan• Collaborate with business teams to understand the business problems and expectations, identify potential use cases.
• Define detailed scope for identified use cases, size the business impact, propose appropriate modelling techniques, design pilot plan to test model performance in real business environment.
• Establish a data-driven use case evaluation & prioritization framework, including identify & address the hurdles
• Build a funnel of exploratory initiatives, with well-understood strategic intent (but no immediate ROI requirement) to generate valuable learnings for future business opportunities.
• Lead data scientists/team members in execution of data-driven use cases and proactively communicate work progress to business/stakeholders.
• Ensure detailed deployment and implementation of Data Science project, deliver end-to-end solutions within timeline.
• Measure the impact of data-driven use cases by working with business teams and establish appropriate measurement framework/guidelines.
• Regularly control the performance of Data Science models and set up a procedure/framework for model retraining/switch.
• Develop a good Data Science culture within the team by creating opportunities for team to continuously learn (sharing session, self-training, Data Science community) and expand to company-wise to promote the data culture.
• Mentor team members by providing business/technical guidance.
• Ensure all data-driven use cases documentation is up to date and maintain the highest level of quality.
