Carousell Group is the leading recommerce group in Greater Southeast Asia on a mission to inspire the world to start selling, and to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in eight markets under the brands Carousell, Cho Tot, Laku6, Mudah.my, OneKyat, Ox Street, and Refash, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments and Sequoia Capital India.
As a team of passionate individuals working together to solve meaningful problems, there is so much more for you to discover in a career with Carousell. Our culture is made up of hiring, developing, and promoting people who embody our values of solving problems for our users; having a mission-first mindset; being relentlessly resourceful; caring deeply; and staying humble to constantly improve. Together as an organisation, we make magic happen.
Job DescriptionYou will be joining a central team of talented Data Scientists, working on a wide variety of impactful & important problem areas like: Search, Personalisation, Content Moderation, Trust & Safety, AI led Automation, Computer Vision, Conversation AI (NLP) etc.
The successful candidate must be able to work directly with very large datasets and data science tools & libraries. He/she should be passionate about their work, detail-oriented, scientific, and have an excellent problem-solving attitude.
You are expected to embody Carousell’s 5 Core Values: Stay Humble, Solve Problems, Be Mission First, Be Relentlessly Resourceful & Care Deeply
Responsibilities:
- You will be attached to one of the domains in the Data Science Team (e.g. search / recommendations / computer vision), and will own at least 1 major area of responsibility throughout your 6 months of internships.
- There will also be the ability to rotate between different areas of learning should the opportunity arise.
- Mine / process data using modern tools and programming languages.
- Handle all aspects of ML model development, in partnership and guidance from a Senior Data Scientist
- Data wrangling, feature engineering, model exploration / selection, training, offline evaluation, planning A/B experimentation & productionization
- Work closely with other data scientists / ML engineers, contributing to the culture of continuous learning & sharing.
- Leverage AI-powered tools to improve workflows and insights.
- Strong foundational understanding of ML fundamentals and core concepts / architectures
- Hands-on experience of solving multiple problems, academic / industry, leveraging machine learning and deep learning
- Relevance course of study in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, or related field).
- Good programming ability in Python, SQL and experience with common machine learning frameworks and libraries (e.g. TensorFlow, Keras, Sklearn)
- Diligent and reliable, with excellent analytical skills, communication skills, and teamwork
Good to have:
- Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce
- Hands on experience of leveraging Deep Learning to solve a business problem
- Experience of solving Data Science problems related to eCommerce or classifieds space, esp. Involving user-generated-content.
Please send us your Arxiv, Kaggle and/or Github profile if any!
Additional InformationBy proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.
