Gojek

All-in-one on-demand services platform

Data Scientist Intern

Applied Machine LearningConfirmed live in the last 24 hours

InternshipJakarta, IndonesiaNo salary listedIn-person

About the Job

Requirements

Fresh graduates from computer science, mathematics, or statistics are required; students in their final semester are also preferred.
Strong quantitative and problem-solving skills are required.
A solid understanding of statistics and machine learning fundamentals, with demonstrated experience in Python and R, is required.
Communication skills are required to engage with business stakeholders, understand their needs, and effectively communicate analytical results.
The ability to write clear and concise technical documentation is required.

Responsibilities

Work as part of a cross-functional team of engineers, product managers, and business analysts to build data science solutions that increase customer engagement and help grow GoPay’s customer base and transactions.
Rapidly prototype data science solutions and participate in product and feature discussions.
Analyze large volumes of data and generate actionable insights.
Own end-to-end solutioning, from formulating the technical problem through deployment in collaboration with engineers.
Participate in internal and external conferences and workshops.

Desired Qualifications

Experience in recommender systems, ranking, multi-armed bandits, search, and discovery is a plus.
Students in their final semester are preferred.

About the Role

We are looking for a data scientist intern to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure

About the Team

GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc.) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.

What You Will Do

Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions
Rapidly prototype data science solutions and be involved in product and feature discussions
Analyze large volume data and generate insights which will be actionable
Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
Participate in internal and external conferences and workshops

What You Will Need

Fresh Graduates from computer science, mathematics, or statistics(Students on final semester are also preferred)
Strong quantitative and problem-solving skills
Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R
Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
Ability to write clear and concise technical documentation
Experience in recommender system, ranking, multi-armed bandits, search and discovery is a plus

About the Company

Gojek

All-in-one on-demand services platform

Gojek is an all-in-one mobile app in Indonesia that offers ride-hailing (motorbike and car), food delivery, courier services, a digital wallet and financial services, grocery and essentials delivery, and health-related features like telemedicine and medicine delivery. Users access these services through a single app, booking rides or deliveries and tracking them in real time, while paying with cash or digital methods. The platform combines transportation, on-demand deliveries, payments, and health services to streamline daily tasks. Unlike apps that focus on a single service, Gojek acts as a central hub that connects multiple everyday needs within one interface. The company’s goal is to be the main platform for on-demand services, making daily life more convenient and efficient for users across Indonesia.

Company size: 11-50
Company stage: Late Stage VC
Total funding: $4.7B
Headquarters: Jakarta, Indonesia
Founded: 2010

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