Carousell is one of the world's largest and fastest growing mobile classifieds apps with a mission to inspire every person in the world to start selling and buying to make more possible for one another.
Since our launch in Aug 2012, we've expanded into 8 countries with over 250 million listings. 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.
You will be part of a talented group of Data Scientists, reporting to Head of Data Science. You will get to work with big volumes of data, converting them into actionable insights / models for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.
You will get the opportunity to work on a wide variety of impactful & important problem areas like: Item Authority, Price Prediction, Content Moderation, Search & Recommendations, Fraud Detection, User Segmentation, Dynamic Ads Pricing & Placement, Chat Analytics (NLP), Image Search 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 excellent problem-solving abilities.
Mines data using modern tools and programming languages.
Able to handle all aspects of ML model development: data wrangling, feature engineering, model selection / architecture, training, offline evaluation, plans A/B experimentation & productionization
Defines and implements models to uncover patterns and power predictions creating business value and innovation.
Work closely with other data scientists / ML engineers in Singapore and India development centers, contributing to the culture of continuous learning & sharing.
Partner closely with Product Managers & other senior Data Scientists in identifying potential data science solutions to important product / business problems.
3+ years exp. as data scientist / ML engineer, with hands on experience of solving multiple product & business problems leveraging machine learning.
Good university degree in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, or related field)
Solid foundation in maths, programming and ML fundamentals
Strong programming ability in Python, SQL and experience with machine learning frameworks and libraries (e.g. TensorFlow, Keras, Spark MLlib, Sklearn)
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
Diligent and reliable, with excellent analytical skills, communication skills, and teamwork
Good to have :
Experience of solving Data Science problems related to eCommerce or classifieds space, esp. Involving user-generated-content
Experience of solving marketplace related Data Science problems: content discovery, content moderation, fraud detection etc
Publications in well-respected conference / journals