Must have at least 3 years of professional Python & ML experience and Master's Degree in Computer Science or Equivalent
About Us:
We are a fashion-focused e-commerce company leveraging cutting-edge AI technologies to transform how customers discover products. Our platform integrates intelligent search and recommendation systems to deliver a personalized shopping experience. We analyze user behavior, micro/macro fashion trends, and product metadata to curate and rank content dynamically.
Role Overview:
We are seeking a skilled Data Scientist with strong experience in building recommendation systems to join our growing 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, 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.
Required 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, Tensor Flow, Py Torch, Light FM).
- 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.
- Strong communication and problem-solving skills.
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.
- Background in NLP or computer vision for fashion tagging is a plus.
