Principal Data Scientist, Marketplace


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Posted 4 weeks ago

About the Role
The role requires you to utilize various quantitative techniques such as Machine Learning, Optimization, Simulation, Bayesian Techniques, etc. at your disposal to drive asymmetric values for our business at Gojek. Not only are you expected to be involved in ideation, research, and building prototypes, but you will also get the chance to bring your model to production by utilizing various data science tools created by our Data Science Platform Team.

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 and forecasting problems in Gojek that touch the company’s baseline
  • You will 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 spatio-temporal forecasting models to enhance the current stack of Marketplace algorithms for supply, demand, pricing

What You Will Need

  • At least 8 years of experience as a Data Scientist/ML Engineer
  • 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. Experience in Python, R, Golang/Java, Unix
  • Bonus Points for prior academic or industry work experience with forecasting methods like auto-regressive models, Markov models, kernel based methods etc
  • Plus points for prior experience with simulations for modeling the stochastic nature of marketplace supply, demand, and knowledge of transportation and mobility space
About the Team
Gojek Data Science team works on some of the most interesting problems in transport, logistics, and economics. We leverage on machine learning to build data products for ride-hailing, logistics, food delivery, and payments. From selecting the right driver to dispatch, to dynamically setting prices, to serving food recommendations, to forecasting real-world events, hundreds of millions of orders per month, across more than 20 products, are all driven by machine learning.
About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2018, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
Job tags: Distributed Systems Economics Engineering Java Machine Learning ML Python R Research
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