Data Scientist: Building Personalized Experiences
We are seeking a skilled Data Scientist to join our team, with strong experience in building recommendation systems.
Key Responsibilities:
* Design 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:
* At least 3 years of professional Python & ML experience.
* Masters Degree in Computer Science or Equivalent.
* 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.
* 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.
About This Role
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.
The ideal candidate will have a strong background in data science, ideally in e-commerce or consumer-tech, and experience building and deploying recommendation systems.
This is an exciting opportunity to join our growing team and contribute to the development of cutting-edge AI technologies that transform how customers discover products.
We offer a dynamic work environment, opportunities for growth and development, and the chance to work on challenging projects with a talented team of professionals.
If you are a motivated and experienced data scientist looking to take your career to the next level, we encourage you to apply for this role.