Carousell Group

Data Scientist II

Singapore · Hybrid · Full-time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerCarousell Group
LocationSingapore
Work styleHybrid
Employment typeFull-time
Employer posted3 days ago

You 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.

What you'll do

Ship and improve models in production. End-to-end ML model development lifecycle: data wrangling, feature engineering, model selection / architecture, training, offline & online evaluations, planning A/B experimentation & productionization.

Turn ad-hoc business needs into solutions, whether that means adapting an existing service or building a new feature.

Own your data pipelines: Data preparation, feature processing, training and deployment pipelines your models need.

Run and read A/B tests to decide what ships, and explain honestly when a result is noise.

Use AI tools as a core part of how you work, to move faster and to raise the quality of what you ship.

Show full description

Work across any of the following domains: Search, Recommendations, Sell Form, Listing Understanding, Trust & Safety

Partner closely with Product Managers & other engineers in identifying potential data science solutions to important product / business problems.

Work closely with other data scientists, contributing to the culture of continuous learning & sharing.

Build multimodal understanding for the sell form, such as extracting attributes from listing photos and text and auto-filling listing details.

Improve search and recommendations, from candidate generation and semantic retrieval to ranking and relevance evaluation.

Work hands-on with Chinese-language data. Analyse listing text and search queries from Hong Kong and Taiwan directly, in Traditional Chinese and Cantonese as well as English.

Requirements

3+ years of applied ML engineering or data science experience, with hands-on experience of solving multiple product & business problems leveraging machine learning.

Working proficiency in English and in Mandarin or Cantonese. This role involves hands-on analysis of Chinese-language listing text and search queries from Hong Kong and Taiwan, so you'll need to read and reason about that data yourself.

Minimum Bachelor's degree in Computer Science, Statistics, Applied Mathematics or a related quantitative discipline, or equivalent demonstrated experience.

Solid foundation in maths, programming and ML/DL fundamentals.

Good programming ability in Python, SQL and experience with machine learning frameworks and libraries (e.g. PyTorch, Tensorflow, Keras, Spark MLlib, Sklearn etc.)

Good to have:

Experience in e-commerce, classifieds or C2C marketplaces, especially with cold-start listings, supply quality or long-tail queries.

Experience in one or more of: search, recommendations, marketplace trust & safety, or pricing.

Multimodal embeddings and vector retrieval, such as CLIP-style architectures and approximate nearest-neighbour search.

Attribute extraction or auto-fill from images and unstructured text.

A Master's degree in Computer Science or a related field.

Familiarity with Carousell as a user. Knowing the product first-hand helps a lot when tuning feeds and search quality.

By 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.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.