Data Scientist - Risk


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Posted 3 weeks ago

About the Role
They say no man is an island, and this notion holds particularly true for this role. As our Data Scientist for the Risk & Fraud team, you will focus on the development of fraud detection algorithms, proactively identifying various data sources and developing robust techniques to detect anomalous patterns in them. You'll have the opportunity to work in a fast-paced environment within a highly cross-functional team (in constant collaboration with business and product stakeholders) and leverage our robust, Big Data infrastructure right at your fingertips. The folks over at the Data Science Platform team will be your companions during this ride, as they help to bring your models to production. 

What You Will Do

  • Collaborate with analysts, data scientists, product managers, and validation teams across the risk organization
  • 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 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 experience with the Python DS environment 
  • Exposure to pyspark and cloud environments like GCP/AWS is preferred
  • Capability to independently solve a well-defined DS problem end-to-end
About the Team
Our 'Risk & Fraud' Data Science team consists of 5 Data Scientists.
Our main responsibility is to build data products to minimize financial loss due to fraud, curtail abuse, and improve user experience on the platform. How does one achieve this, you may ask? By leveraging on Machine Learning. We are a team of data scientists with diverse academic, professional and personal backgrounds working from 3 different locations [Jakarta, Bangalore and Singapore]. What unites us is the passion to make Gojek’s platform safe for all. We have been able to make a demonstrable impact by thinking creatively and by working collaboratively with subject matter experts, product managers and engineers. We are continuously learning and adapting to tackle the challenging domain that is fraud.
As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. 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.
Job tags: AWS Big Data Engineering Machine Learning ML PySpark Python
Job region(s): Asia/Pacific
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