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You will be updated with latest job alerts via emailGet to Know the Team
The Analytics teams mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate whats 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 experienced data scientists to build a centre of data excellence for Product & Experimentation in a diverse range of tech families.
Get to Know the Role
You will report to the Senior Analytics Manager Mobility and work onsite in Grab One North Singapore office. You will work with different 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.
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 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.
The Critical Tasks You Will Perform
Qualifications :
What Essential Skills You Will Need
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Full-time