Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. Since its founding in 2009, Tokopedia has been a force that pioneers digital transformation in Indonesia. Consistent in building a bridge to connect millions of people, we have now reached more than 99% of districts and empowered over 12 million of merchants across the archipelago. Our vision is to build a Super Ecosystem where anyone can start and discover anything. To achieve that, we are working hand in hand alongside various strategic partners through our marketplace, logistics, payments, and financial technology businesses, while also providing more than 500,000 payment points across Indonesia, and offering more than 40 digital products that simplify the lives of many. Our team has grown rapidly over the years, as we now have more than 6,000 Nakama spread across several regions; Jakarta, Semarang, and Yogyakarta. With Tokopedia’s 3 DNAs instilled as our core values, we constantly innovate to provide the best experience for our millions of users and contribute to advancing a better Indonesia through technology. In 2021, Tokopedia and Gojek have united to become GoTo by combining e-commerce, on-demand, and financial and payment services. With a mission to empower progress, we continuously create a comprehensive ecosystem for daily life. Let’s find your purpose with us, and join our mission! www.tokopedia.com/careers
Bachelors in Math, Statistics, Computer science, or Engineering
Exposure to data science through relevant projects, courses, or competitions
Hands-on experience:
Python - Pandas, Numpy, Scikit learn
SQL
Machine learning models such as random forests, gradient boosted trees, or neural networks
Knowledge at least one of the following areas is a plus:
Natural Language Processing,
Computer Vision
Information Retrieval - Search & Recommendations
Fraud detection
Time-series analysis and modeling
Cloud computing for ML
Collaborative team player
Intellectually curious and always learning
Perform tasks such as data exploration, cleaning, and feature engineering
Perform research into state-of-the-art algorithms from research papers with guidance from lead data scientists
Implement data science algorithms from research papers with guidance from lead data scientists
Development of APIs from data science models
Collaborate with team members from data science and other teams to develop data science solutions