About this role:
* We are seeking a skilled Data Scientist with strong experience in building recommendation systems.
Key responsibilities will include designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
This includes developing user profiling models using clickstream and behavioral data, leveraging AI-driven product tagging to enhance metadata quality and retrieval, analyzing macro and micro fashion trends to influence product rankings, extracting insights from large-scale user data and converting them into actionable models, working closely with engineers and product managers to integrate models into production, and developing and monitoring metrics for model performance and user engagement impact.
Requirements:
* 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
* 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
Preferred qualifications:
* Experience in the fashion or lifestyle e-commerce domain
* Knowledge of modern MLops workflows and model monitoring tools
* Familiarity with cloud platforms (AWS, GCP) and tools like Airflow or DBT
* Background in NLP or computer vision for fashion tagging is a plus