Data Scientist

1 day ago

Singapore Carousell Group Full time

**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 7 countries, 19 major cities 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.**:
At Carousell you will have the opportunity to improve the experience for millions of our buyers & sellers across 9+ markets. Given high volumes of user generated content (UGC) and dynamics unique to a C2C marketplace, there are endless opportunities to generate significant business & user impact leveraging machine learning.

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.

You are expected to embody Carousell's 5 Core Values: Stay Humble, Solve Problems, Be Mission First, Be Relentlessly Resourceful & Care Deeply

**Responsibilities**:

- Mine / process data using modern tools and programming languages
- Handle all aspects of ML model development: data wrangling, feature engineering, model selection / architecture, training, offline evaluation, planning A/B experimentation & productionization
- Define and implement models to uncover patterns and power predictions creating business value and innovation.
- Work closely with other data scientists / ML engineers, 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.

**Requirements**:

- 3+ years exp. as a 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.
- Good programming ability in Python, SQL and experience with machine learning frameworks and libraries (e.g. TensorFlow, Keras, Spark MLlib, Sklearn)

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