About the Role They say no man is an island - a notion that holds particularly true for this role. As a Data Scientist, you'll be an instrumental cog in the Marketplace wheel of Gojek that directly impacts GoFood's revenue and user experience. Your main objective will be to utilize various quantitative techniques, such as Machine Learning, Optimization, Simulation, and Bayesian Techniques, to drive asymmetric values for our business 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 the opportunity to flex and hone in on your skills in ideation, research, and building prototypes!
About the Role As our Senior Data Scientist, you'll be an integral player in the Marketplace Data Science team based in Bengaluru. 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. 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, and work with the platform team to take the systems to production Work with Business teams to continuously refine and 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 6 years of experience as a Data Scientist or Machine Learning Engineer, with experience in Python, Golang/Java, and Unix A Bachelor's Degree in Computer Science, Statistics, Operations Research, or a relevant quantitative field Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams Experience in taking Data Science models to production Prior academic or industry work experience with forecasting methods like auto-regressive models, Markov models, and Kernel-based methods Prior experience with simulations for modeling the stochastic nature of marketplace supply and demand, and knowledge of the transportation and mobility spaceAbout the Team Our Data Science team consists of over 20 Data Scientists. As Chicken Rice is to the people of Singapore, the Data Science team is to Gojek: providing the nourishment and power to sustain our business from the inside out.
About the Role If you're looking to be part of a dynamic, highly-analytical team who enjoys improving the Gojek experience to delight and engage more users, look no further! As an Operations Analyst (Data Operations) for the Supply Operations team, you'll take the wheel in designing and building scalable analytics solutions through data pipelines and visualize datasets that empower the Singapore business with actionable analytics. Working closely with Product, Growth, Marketplace, Service Excellence, and Business Intelligence teams, you'll dive deep into local market insights to provide direction and analytical solutions that are timely, accurate, and actionable to drive growth and contribute to the continuous improvement of data pipelines within the business intelligence domain. Employing your stellar analytical skills and contextual business acumen, your efforts will improve the service reliability and experience for our driver-partners, and ensure that we provide both our ...
About The Role They say no man is an island, and this holds true here at Gojek. Data Scientist, you'll be part of the Consumer Platform team that directly impacts Gojek by building smart smart data products. Your main objective will be to mine insights from the sea of data to build ML powered data products. Many smart business leads, analysts and scientists will be your companions during this ride. Best yet, you'll have the opportunity to flex your DS skills, getting us even closer to our ultimate goal to become the leading technology platform.
About the Role As our Senior Data Scientist, you'll be an integral player in the Demand and Incentives Data Team based in Jakarta. With the latest cutting-edge data science tech at your disposal, you'll focus your efforts on bringing our incentive systems to the next level, employing various quantitative techniques such as Machine Learning, Optimization, Simulation, Bayesian Techniques to 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 demand & incentives stream, and thus to company's top and bottom line as a whole. What You Will Do Drive the long term vision of the Machine Learning-based incentive systems and own its implementation end-to-end Enhance the technical excellence of the team and bring the data science products in your stream to the next level Work with other Data Scientists, Machine Learning Engineers, and Business users to build, deploy, and scale data science solutions for incentive systems Utilize 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 and improve the systems to cater to Gojek's ever-evolving needs What You Will Need At least 5 years of experience as a Data Scientist/ Machine Learning Engineer, with solid understanding of Data Science and Machine Learning fundamentals and experience taking Data Science models into production Experience in Python, R, Golang/Java, Unix; along with knowledge of good software design principles and TDD Working knowledge of Cloud-based solutions (GCP/ AWS), Stream Data Processing Frameworks (Beam) and mature Deep Learning frameworks (e.g.