About the Role
As our Data Scientist, you'll be an integral player in the Marketplace Data Science team based in Singapore. With the latest cutting-edge data science tech at your disposal, you'll focus your efforts on bringing our Marketplace systems (i.e. supply, demand, and pricing) to the next level. Employing various quantitative techniques such as Machine Learning, Optimization, Simulation, and Bayesian Techniques, you'll drive asymmetric values for our businesses at Gojek. You'll be heavily involved in ideation, research, and building prototypes, and the folks in the Data Science Platform will bring your models to production. Your efforts will directly influence the stability and scalability of Gojek's Marketplace stream, and thus to company's top and bottom line as a whole.
About the Team
Our Data Science Platform team, a subsidiary of the Marketplace Data group, is a family of engineers based in Singapore and Bengaluru. Our main responsibility is to build data products for ride-hailing, logistics, food delivery, and payment. How does one achieve this, you may ask? By leveraging Machine Learning; we design and manage a Machine Learning platform to accelerate ML product development and simplify operations at Gojek. From selecting the right driver to dispatch, to dynamically setting prices, to forecasting real-world events, to processing the hundreds of millions of orders per month across more than 20 products - all this is driven by Machine Learning. We are working on several projects now, including one about how we can strategically position our driver-partners to improve our customer experience.
Our team is unique in its charter as an enabler of Data Science and Machine Learning systems at production scale within a hyper-growth deacorn. Some of our creations include open-source MLops technologies such as Feast (our feature store), Merlin (our model deployment platform), and Turing (our experimentation platform), and internal tools such as Clockwork. Our products are used in mission-critical parts of Gojek’s product offerings, such as dynamic pricing, driver allocation, food recommendations, and fraud prevention. We constantly work with machine learning practitioners to solve high-impact issues, and generalize the solution at a platform level to benefit the organization as a whole.
We are a tight-knit group made up of exercise-buffs, amateur gamers, and (wannabe) whiskey connoisseurs. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!