Job Summary
We are seeking a skilled Data Scientist to join our team. As a 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.
Key Responsibilities
* Design and Development: Design, build, and deploy scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
* User Profiling: Develop user profiling models using clickstream and behavioral data.
* Product Tagging: Leverage AI-driven product tagging to enhance metadata quality and retrieval.
* Trend Analysis: Analyze macro and micro fashion trends to influence product rankings.
* Insight Generation: Extract insights from large-scale user data and convert them into actionable models.
* Integration and Monitoring: Work closely with engineers and product managers to integrate models into production and develop and monitor metrics for model performance and user engagement impact.
Requirements
* Data Science Experience: 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
* Recommendation Systems: Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models).
* Technical Skills: 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.
* Personalization Techniques: Strong grasp of personalization techniques and user segmentation strategies.
* Large-Scale Data Pipelines: Experience working with large-scale data pipelines and A/B testing frameworks.
* Communication Skills: Strong communication and problem-solving skills.