Job Description

: Life at Grab At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia. Get to know the Team: 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. Get to know the Role: Understand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems (pssh .. some top-secret products await you!) Use data to identify trends, spot anomalies and deepdive into their root causes Use your number-crunching and slide-maker skills to use and present data beyond just numbers. Hone your data storytelling skills through visualisation techniques by building dashboards and presenting insights to a non-technical audience! Evaluate the feasibility of developing new products, participate in user researches to validate customer problems Align with stakeholders on key product metrics, design and propose experimentation strategies. Launch A/B tests, analyze experiment results and provide recommendations Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection Develop and maintain data pipelines to fulfill product reporting requirements The Day-to-Day Activities: Managing end to end experiments Stakeholder management Deep dive into product and consumer cohort analysis The Must-Haves:

• Undergraduate in Statistics, Mathematics, Analytics or other relevant courses.
• A curious and confident soul (with a dash of humour) who loves using data! Strong statistical knowledge - ideally having utilized controlled experiments in the industry.
• You enjoy using SQL, Google Sheets, R, SQL and other scripting/programming languages to solve customer-problems.
• Knowledge of Spark (Scala / pySpark) would be a plus.
• Strong data visualization and storytelling skills

Our Commitment We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique. About Grab Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries. Join us today to drive Southeast Asia forward, together.