Senior Data Scientist (Analytics) - Multiple Roles
The Senior Data Scientist (Analytics) will join Grab's Analytics team to advance product innovation through data and experimentation. This role involves working with cross-functional teams to identify data requirements, track key metrics, provide data-driven insights, and evaluate new product ideas. Responsibilities include designing experiments, analyzing A/B tests, and developing data pipelines to support product reporting.
Have you ever wanted to build customer-facing products that rely extensively on data insights and models? Have you ever been keen on building a recommender model to customise your Grab app (or any other consumer app) experience? If you answered yes to either of these questions .. then look no further!
The Analytics team mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what’s best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for junior and experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas! You will help developers, designers & 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 be working closely with various teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.
Posted June 7, 2026