Job Description
A Data Scientist is required to build scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
Key Responsibilities:
* Design and 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
Essential Skills:
* At least 3 years of professional experience in Python & ML.
* Master's Degree in Computer Science or Equivalent.
Familiarity with:
* Data analysis tools such as SQL, Pandas, and Jupyter.
* Machine learning libraries like Scikit-learn, TensorFlow, PyTorch, LightFM.
* Personalization techniques and user segmentation strategies.
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.