About the Role
They say no man is an island - a notion that holds particularly true for this role. As our Senior Decision Scientist, you will be making ambiguous decisions with models through various statistical techniques to help pilot our next steps forward. Your main objective will be to utilize various quantitative techniques, such as Machine Learning, Optimization, Simulation, and Bayesian Techniques, in order to drive asymmetric values for our businesses at Gojek. The folks over at the Data Science Platform team will be your companions during this ride, as they help to bring your models to production. Best yet, you’ll have ample opportunity to flex and hone in on your ideation, research, and prototype-building skills.
What You Will Do
Work with Data Scientists, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on match-making, supply, pricing problems in Gojek that touch the company’s baseline
Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to develop these systems, work with the platform team to take the systems to production
Work with Business teams to continuously refine, improve the systems to cater to ever-changing Gojek needs
Design and develop world class Data Science solutions to enhance the current stack of Marketplace algorithms for supply, demand, pricing
What You Will Need
At least 4 years of experience as a Data Scientist/Machine Learning Engineer, with experience in Python, Golang/Java, Unix
Bachelor's Degree in Computer Science, Statistics, Operation research or other quantitative fields
Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problems
Proven ability to recognize business needs and ability to communicate with multiple stakeholders including PMs, Business and Operations
Experience in taking Data Science models to production.
Prior academic or industry work experience with forecasting methods like auto-regressive models, Markov models, Kernel-based methods.
Prior experience with simulations for modeling the stochastic nature of marketplace supply, demand, and knowledge of transportation and mobility space
About the Team
Our Decision Science team consists of over 20 Data Scientists.
Our main responsibility is to build data products for ride-hailing, logistics, food delivery, and payments. How does one achieve this, you may ask? By leveraging on Machine Learning. 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.
As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. With WFH becoming more normalized, you best believe we’ve been sharing our favorite ways to prioritize a healthy work-life balance at home (Netflix, anyone?). Our team enjoys keeping fit via badminton, table tennis, and hiking.