Highlights
Work on diverse projects, gain hands-on experience with big data pipelines, and contribute to cutting-edge AI applications.
Description
Job Summary
pJoin a dynamic team at Carousell Group, where you’ll work on impactful projects like search optimization, personalization algorithms, content moderation, trust & safety measures, and AI-driven automation. This role is perfect for those eager to apply their data science skills in a fast-paced, mission-driven environment.
Responsibilities
- Mine and process large datasets using modern tools and programming languages.
- Develop machine learning models from scratch with guidance from senior data scientists.
- Conduct feature engineering, model selection, training, evaluation, and A/B testing.
- Collaborate closely with other data scientists and ML engineers to enhance team knowledge sharing.
Required Skills
- Data wrangling
- Feature engineering
- Machine learning model development
- Python programming
- A/B testing
Required Skills Explained
- Strong foundational understanding of ML fundamentals and core concepts/architectures.
- Hands-on experience solving multiple problems, academic/industry, leveraging machine learning and deep learning.
- Relevance course of study in a quantitative discipline such as Computer Science, Mathematics, Statistics or related field.
- Good programming ability in Python, SQL and experience with common ML frameworks and libraries like TensorFlow, Keras, Sklearn.
- Diligent and reliable with excellent analytical skills, communication skills, and teamwork.
Who is this for
pThis role suits individuals who are passionate about data science, have a strong analytical mindset, and enjoy working in a collaborative environment to drive meaningful solutions.
Why This Job is a Good Opportunity
ulliJoin a dynamic team of talented Data Scientists working on impactful projects across various domains such as search, personalization, content moderation, trust & safety, AI-led automation, computer vision, and conversation AI (NLP).liGain practical experience in data science tools and libraries used by leading companies in the industry.liWork directly with large datasets, enhancing your skills in handling real-world big data challenges.liRotate between different areas of learning to broaden your expertise and contribute to a culture of continuous learning and sharing within the organization.liExperience working on mission-critical projects that have a significant impact on user experience and business growth.
Interview Preparation Tips
- Review foundational concepts in machine learning, including algorithms, models, and evaluation metrics.
- PRACTICE coding problems using Python and SQL to demonstrate your programming skills.
- Prepare examples of projects or case studies where you have applied machine learning techniques to solve real-world problems.
- Understand the importance of data preprocessing, feature engineering, model selection, and evaluation in building robust ML models.
- Be ready to discuss your problem-solving approach and how you collaborate with other team members.
Career Growth in This Role
ppThe role offers a pathway for career growth within the Data Science field. After completing the internship, talented individuals may have opportunities to transition into full-time positions or advance to senior roles leading larger projects and teams.ppWith Carousell's commitment to innovation and problem-solving, professionals in this role can contribute to shaping the future of recommerce technology and user experience. The diverse range of projects ensures continuous learning and development.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You’ll work on projects such as improving search functionality, developing recommendation systems, and enhancing content moderation tools.
Do I need experience in big data pipelines?While not mandatory, prior experience with platforms like Spark/MapReduce is beneficial for scaling your machine learning models.
What kind of support can I expect from senior team members?You’ll receive mentorship and guidance from experienced data scientists to help you grow professionally.
