About this role
As a skilled Data Scientist, you will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
This is an exciting opportunity to leverage your expertise in building recommendation systems using collaborative filtering, content-based methods, or hybrid approaches.
Key Responsibilities:
* Design, build, and deploy scalable recommendation engines to deliver high-quality user experiences.
* Develop user profiling models using clickstream and behavioral data to inform product rankings.
* Leverage AI-driven product tagging to enhance metadata quality and retrieval.
* Analyze macro and micro fashion trends to influence product rankings.
* Extract insights from large-scale user data and convert them into actionable models.
* Work closely with engineers and product managers to integrate models into production.
* Develop and monitor metrics for model performance and user engagement impact.
Requirements
To be successful in this role, you will need to have:
* 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
* Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models).
* Proficiency in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, LightFM).
* Experience with data analysis tools such as SQL, Pandas, and Jupyter.
* A strong grasp of personalization techniques and user segmentation strategies.
* Solid understanding of product ranking using behavioral data and trend signals.
* Experience working with large-scale data pipelines and A/B testing frameworks.
* Strong communication and problem-solving skills.