Deskripsi Pekerjaan
Are you passionate about leveraging Machine Learning to solve real-world security challenges at scale? Join the GoTo KYC Data Science Team and play a pivotal role in securing Southeast Asia's leading on-demand platform. As a Data Scientist Intern at Gojek, you will work alongside world-class engineers and data scientists to build, deploy, and optimize ML models that protect millions of users within our payment ecosystem.
You will gain hands-on experience in the end-to-end data science lifecycle, from data exploration and feature engineering to model training and performance monitoring. This is a unique opportunity to contribute to high-impact projects that directly influence the reliability and security of GoTo’s financial services while working in a fast-paced, innovation-driven environment.
Tanggung Jawab
- Develop and refine machine learning models to enhance Know Your Customer (KYC) processes and fraud detection systems.
- Clean, process, and analyze large-scale datasets to extract actionable insights for system improvements.
- Collaborate with cross-functional teams to integrate ML components into production-grade payment systems.
- Conduct A/B testing and model evaluation to monitor performance metrics and system reliability.
- Support the team in automating data pipelines and optimizing existing model architectures.
- Document research findings and present technical insights to stakeholders within the data organization.
- Stay up-to-date with emerging trends in AI/ML and apply cutting-edge research to solve complex security problems.
Kualifikasi
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong proficiency in Python or R for data analysis and modeling.
- Solid understanding of machine learning algorithms, statistical modeling, and data visualization techniques.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras is a significant advantage.
- Experience working with SQL and relational databases to manage and query large datasets.
- Strong problem-solving skills and the ability to work independently in a collaborative, agile environment.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Ability to commit to a full-time internship for a minimum of 3 to 6 months.