About this role:
We are seeking an experienced Data Scientist to join our team. This individual 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 include:
* 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.
The ideal candidate will have 2+ years of experience in data science, preferably in e-commerce or consumer-tech, and hands-on experience building and deploying recommendation systems.
Proficiency in Python and machine learning libraries is required, as well as experience with data analysis tools such as SQL, Pandas, and Jupyter.
A strong grasp of personalization techniques and user segmentation strategies is essential, along with solid understanding of product ranking using behavioral data and trend signals.
Experience working with large-scale data pipelines and A/B testing frameworks is also desirable.
A strong communication and problem-solving skills are necessary to succeed in this role.
Requirements:
* 2+ years of 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 (e.g., Scikit-learn, TensorFlow, PyTorch, LightFM).
* 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 (AWS, GCP) and tools like Airflow or DBT.
* Background in NLP or computer vision for fashion tagging is a plus.