Data Scientist II
Job Summary
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 youll 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.
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.
Qualifications :
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 youll need to read and reason about that data yourself.
Minimum Bachelors 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 Masters 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.
Additional Information :
By proceeding with your application you are adhering to our PDPA case you are interested to know more read about our Candidates Personal Data Privacy Statement.
Remote Work :
No
Employment Type :
Full-time
About Company
Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, C ... View more