Senior Data Scientist I - Logistics

About the Role
The role requires you to utilize various quantitative techniques such as Machine Learning, Optimisation, 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

• In this role, you will work with data scientists, machine learning engineers, and business users to build, deploy, and scale data science solutions on match-making and pricing 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

What You Will Need

• At least 5 years of experience as a Data Scientist/ ML Engineer
• Bachelor's Degree in Software Engineering, Computer Science, Information Systems, Business Analytics, Statistics or similar fields
• Solid understanding of data science and machine learning fundamentals
• Proven experience to formulate data science solutions to business problems
• Proven ability to communicate with Business and understand Business needs
• Understanding of good software design principles and TDDExperience in taking data science models to production
• Experience in Python, R, Golang/Java, Unix
• Experience working with relational and non-relational databases
• Ability to write clear, concise technical documentation
• A good team player
• Ability to recognise when a simple solution is the best
• Identify signal from noise and focus on creating business impact

About 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. 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. Along with keeping fit (via badminton and table tennis), our team bonds over our shared love of hiking (Yes, in Singapore!). With WFH becoming more normalised, you best believe we’ve been sharing our favorite ways to prioritise a healthy work-life balance at home (Netflix, anyone?).

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.