About Us: We are seeking a skilled professional to join our growing team as a Data Scientist.
As a key member of the 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.
Key Responsibilities:
* Design and build 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.
Required Skills and Qualifications:
* Experience in data science, ideally in e-commerce or consumer-tech.
* Hands-on experience building and deploying recommendation systems.
* Proficiency in Python and machine learning libraries.
* 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.
Preferred Qualifications:
* Experience in the fashion or lifestyle e-commerce domain.
* Knowledge of modern MLops workflows and model monitoring tools.
* Familiarity with cloud platforms and tools like Airflow or DBT.
* Background in NLP or computer vision for fashion tagging is a plus.