Senior Data Scientist

3 days ago

Jakarta, Jakarta, Indonesia Data Analytics Full time

Get to Know the Team

We drive innovation and operational excellence by turning data into actionable strategies that elevate the end-to-end experience for consumers, driver-partners, and merchant-partners. From optimizing transaction flows and platform efficiency to enhancing reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

You will be responsible for all matters related to data ETL, creation of dashboards and development of data driven insights. In addition, you will provide day to day data support to the Transformation and Strategy Office team. You will collaborate closely with cross-functional teams including Corporate Strategy, Finance, and Analytics, as well as other key business units. In this role, you are expected to contribute to strategic planning and data-driven insights that support business growth and decision-making. Your work will involve translating analytical findings into actionable recommendations, aligning initiatives across teams, and ensuring strategic priorities are executed effectively to drive organizational impact. You will be directly report to the manager. The role will based onsite.

The Critical Tasks You Will Perform

  • Be an industry subject matter expert in using data to measure and analyze business/product performance in each of our markets and lines of business.
  • Lead the exploration of business/product issues/opportunities, uncover insights and/or identify targeted areas for business growth.
  • Localize, tune in-production models to new cities / markets to enable product velocity.
  • Provide thought leadership and generate data-driven hypotheses to solve key Product/Business problems.
  • Develop mixed effect, causal inference models to understand interaction effects or product configurations that are working sub optimally.
  • Build and manage anomaly detection systems to intelligently alert slow-moving changes or sudden anomalies in product or system metrics.
  • Develop analytics tools to help data teams and other disciplines be more at debugging, data summarization and at analysis of results.

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