Data Scientist - Risk
Jakarta
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
Gojek is committed to creating a safe and trusted platform for all. As our Data Scientist for the Fraud team, you will play a critical role in advancing a comprehensive and high-impact risk management system that combines human and machine intelligence through predictive modeling for fraud detection and trust/risk scoring for users and transactions. With ample opportunity to hone in on your machine learning skills, you’ll get to develop data-driven methodologies to reduce fraud risks and abuse, and devise strategies to improve the user experience for the platform along the way.
Our Risk/Fraud team consists of a lean group of data scientists stationed across Jakarta, Bangalore, Singapore and Bangkok. The safety of Gojek’s platform is our top priority; our efforts impact the user experience and financials, among many other things. We play a critical role in ensuring the most credible and reliable tech platform for our users, driver partners, and merchant partners in our ecosystem. Partnering closely with the Risk department, subject matter experts, product managers, and engineers, we work to deliver bold solutions to reduce fraud and abuse on the platform.
We’re a high-performing, tight-knit team who are committed to the safety and growth of the company, as well as each other’s personal growths and wellbeing. Pre-Covid, factions of our team would enjoy catching up over a round of drinks after work. However, with WFH becoming more normalized, we've been sharing our favorite ways to prioritize a healthy work-life balance at home. This includes ample “fun” Zoom calls where we discuss our latest tech-related findings we find interesting.
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.
Gojek is committed to creating a safe and trusted platform for all. As our Data Scientist for the Fraud team, you will play a critical role in advancing a comprehensive and high-impact risk management system that combines human and machine intelligence through predictive modeling for fraud detection and trust/risk scoring for users and transactions. With ample opportunity to hone in on your machine learning skills, you’ll get to develop data-driven methodologies to reduce fraud risks and abuse, and devise strategies to improve the user experience for the platform along the way.
What You Will Do
- Collaborate with analysts, data scientists, product managers, and validation teams across the risk organization
- Develop statistical/ML techniques to eliminate fraud and reduce risk on Gojek platform
- Build Prototypes; validate and iterate end-to-end solutions
- Be passionately involved in deploying and maintaining models in production
- Assist to deliver and improve business metrics continuously
What You Will Need
- A Bachelor's/Master's Degree in Statistics, CS or related engineering streams
- At least 3 years of experience in developing statistical/ML solutions
- Good understanding of Statistics/ML fundamentals
- Hands-on with the Python DS environment
- Exposure to pyspark and cloud environments like GCP/AWS is preferred
- Capability to solve a well-defined DS problem end-to-end independently
Our Risk/Fraud team consists of a lean group of data scientists stationed across Jakarta, Bangalore, Singapore and Bangkok. The safety of Gojek’s platform is our top priority; our efforts impact the user experience and financials, among many other things. We play a critical role in ensuring the most credible and reliable tech platform for our users, driver partners, and merchant partners in our ecosystem. Partnering closely with the Risk department, subject matter experts, product managers, and engineers, we work to deliver bold solutions to reduce fraud and abuse on the platform.
We’re a high-performing, tight-knit team who are committed to the safety and growth of the company, as well as each other’s personal growths and wellbeing. Pre-Covid, factions of our team would enjoy catching up over a round of drinks after work. However, with WFH becoming more normalized, we've been sharing our favorite ways to prioritize a healthy work-life balance at home. This includes ample “fun” Zoom calls where we discuss our latest tech-related findings we find interesting.
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.
Tags: AWS Engineering GCP Machine intelligence Machine Learning Predictive modeling PySpark Python Statistics
Perks/benefits: Career development Startup environment
Region:
Asia/Pacific
Country:
Indonesia
Job stats:
23
3
0
Category:
Data Science Jobs
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