About Personalized Experiences:
We are seeking a skilled Data Scientist with strong experience in building recommendation systems to design and optimize personalized experiences for millions of users by transforming raw data into insights and automated systems.
* Design scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
* Develop user profiling models using clickstream and behavioral data.
* 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.
Key Responsibilities Overview:
The ideal candidate will have hands-on experience building and deploying recommendation systems, proficiency in Python and machine learning libraries, and a solid understanding of personalization techniques and user segmentation strategies. Experience working with large-scale data pipelines and A/B testing frameworks is also essential.
Essential Skills and Qualifications:
* 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.
* 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.