Data Science - Internship (Loyalty, Partnership & Monetisation team)
Singapore
Applications have closed
Gojek
Gojek is Southeast Asia’s leading on-demand platform and a pioneer of the multi-service ecosystem model, providing access to a wide range of services including transportation, food delivery, logistics and more.
About the Role
In this role, you'll be working with teams that generate impact by solving business/product problems using data science (DS) techniques/models. To add to the excitement, you’ll be exposed to working in diverse, cross-functional teams that may include Software Engineers, Analytics Team and Product Managers. In our humble opinion, the coolest part of this role is how your work will directly impact how the senior leaders at Gojek shape strategies around millions of customers across Southeast Asia.
Gojek Data Scientist 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.
While our team is based all over the region, we are mutually concerned about ensuring our users have an exceptional experience every time they utilize our app, and have any technical issue or query answered efficiently. When we aren’t busy working, you could probably find us bonding over our shared love of mobile games, and trying to keep ourselves healthy and happy as we prioritize a healthy work-life balance working from home.
About Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are 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 in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. 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.
In this role, you'll be working with teams that generate impact by solving business/product problems using data science (DS) techniques/models. To add to the excitement, you’ll be exposed to working in diverse, cross-functional teams that may include Software Engineers, Analytics Team and Product Managers. In our humble opinion, the coolest part of this role is how your work will directly impact how the senior leaders at Gojek shape strategies around millions of customers across Southeast Asia.
What You Will Do
- Work closely with business and product partners to understand how to leverage data science
- Work on data exploration to support feature engineering or provide business insights
- Build data pipelines to add new features to existing models
- Work on stories to add new functionality to existing data science systems
- Build models that improve business and product outcomes
What You Will Need
- Currently pursuing Bachelor's or Masters in Mathematics/ Statistics/ Computer Science or any other related discipline
- Ability to code in Python
- Previous internship experience in Data Science
- Ability to understand and apply statistical concepts/ engineer features that feed into machine learning models
- Knowledge of a variety of machine learning algorithms/ how to select, tune and validate a model
- Understanding in SQL and have built data pipelines
- Knowledge on how to work in a collaborative environment: Git
- A Deep interest and passion for Data Science
Gojek Data Scientist 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.
While our team is based all over the region, we are mutually concerned about ensuring our users have an exceptional experience every time they utilize our app, and have any technical issue or query answered efficiently. When we aren’t busy working, you could probably find us bonding over our shared love of mobile games, and trying to keep ourselves healthy and happy as we prioritize a healthy work-life balance working from home.
About Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are 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 in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. 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.
Tags: Computer Science Data pipelines Economics Engineering Feature engineering Git Machine Learning Mathematics ML models Pipelines Python SQL Statistics
Perks/benefits: Startup environment Team events
Region:
Asia/Pacific
Country:
Singapore
Job stats:
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