Data Scientist Intern

Carousell Group

8h

About The Position

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. 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

Requirements

• 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.

Nice To Haves

• 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.
• Arxiv, Kaggle and/or Github profile.

Responsibilities

• 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.
• 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.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed