Personalized Experience Engineer
We are seeking a skilled Data Scientist with strong experience in building recommendation systems to design and optimize personalized experiences for millions of users by transforming raw data into insights and automated systems.
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About the Role
This is a critical role where you will play a key part in transforming user behavior, micro/macro fashion trends, and product metadata to curate and rank content dynamically. You will work closely with engineers and product managers to integrate models into production.
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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.
* Develop and monitor metrics for model performance and user engagement impact.
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Requirements
* At least 3 years of professional Python & ML experience and Master's Degree in Computer Science or Equivalent.
* 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.
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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.