Full Time Intern, Data Scientist (Analytics) Jobs, in Internship Selangor - Maukerja

Get to Know the Team

Grab's Fulfilment Team is a horizontal platform tech family with the goal of deepening fulfilment capabilities for all Grab businesses in a platform manner and providing them solutions which help connect our driver partners to Grab customers and create a reliable, cost efficient and faster transportation and logistics platform.

The Fulfilment Product Analytics Team advances product innovation with analytics and experimentation best practices. We ship multiple features and that means tuning models, evaluating changes and running experiments to drive better outcomes for our driver partners and millions of customers across South East Asia. We are looking for an passionate data scientist to join our growing team.

Get to Know the Role

You will apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new product and business ideas. You will contribute to helping Developers, Designers and Product Managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

You will report to Senior Analytics Manager, Fulfilment. This is a paid internship role and is based onsite in Petaling Jaya.

The Critical Tasks You Will Perform

• You will collaborate with stakeholders to identify requirements and outcomes.
• You will provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
• You will define and align with stakeholders on main metrics, design and propose experimentation strategies.
• You will process and distill stakeholders requirements into concise insights through reports, presentations, and dashboards.
• You will develop data pipelines, customized data science models to solve identified problems.
• You will launch A/B tests, analyze experiment results and provide recommendations.