Data Scientist Role
We are seeking a skilled Data Scientist to join our team. 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.
* Design, build, and deploy 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:
1. The ideal candidate will have strong experience in building recommendation systems, particularly matrix factorization, deep learning-based recommenders, and implicit/explicit feedback models.
2. Proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFM is essential.
3. Experience with data analysis tools like SQL, Pandas, and Jupyter is also necessary.
4. A strong grasp of personalization techniques and user segmentation strategies is required.
5. Solid understanding of product ranking using behavioral data and trend signals is crucial.
6. Experience working with large-scale data pipelines and A/B testing frameworks is a plus.
Required Skills and Qualifications:
* 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
* Hands-on experience with recommendation systems.
* Strong communication and problem-solving skills.
About the Role:
This is an exciting opportunity for a talented Data Scientist to join our growing team and contribute to the development of innovative AI solutions that drive business growth.