Data Scientist - Risk/Fraud
Bengaluru
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.Gojek is committed to creating a safe and trusted platform for all - drivers, consumers and merchants. Fraud has a large impact on both the user experience and financials - you will thus be working in an area of high relevance and impact. Specifically, you will help develop data-driven methodologies to reduce fraud risk and improve user experience on the platform. This will entail identifying relevant data sources, evaluating them and building predictive models for fraud detection. You will have the opportunity to work in a dynamic, fast-paced environment in a cross-functional team with business and product stakeholders and leverage our vast data and the Big Data infrastructure.
What you’ll do/ Responsibilities:
- Collaborate with analysts, data scientists, product managers, validation teams across the risk org
- Help develop statistical/Machine learning based techniques to tackle fraud
- Prototype, validate and iterate solutions end-to-end [data ingestion to model performance]Be actively involved in deploying and maintaining models in production
- Help deliver and improve business metrics continuously
What you’ll need/ Requirements:
- Masters/Bachelors in Statistics, CS or related engineering streams
- At least 1-2 years of experience in developing statistical/ML solutions
- Good understanding of Statistics/ML fundamentals
- Proficiency in Python and SQL
Good to have:
- Exposure to pyspark and cloud environments like GCP/AWS is preferred
- Capability to solve a well-defined DS problem end-to-end
What problems you’ll work on:
- Help advance a comprehensive and high impact risk management system combining human and machine intelligence through
- Predictive modeling for fraud detection
- Trust/risk scoring for users and transactions
Our team consists of a lean group of data scientists with diverse professional and personal backgrounds. We’re stationed across Jakarta, Bangalore, Singapore and Bangkok. The safety and trustworthiness of Gojek’s platform is our top priority; our efforts impact the user experience and financials, among many other things. Partnering closely with the 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 growth 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 latest and interesting tech-related findings.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Engineering Fraud risk GCP Machine intelligence Machine Learning Predictive modeling PySpark Python SQL Statistics
Perks/benefits: Career development Startup environment
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