About the Role
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We are seeking a skilled data scientist with strong experience in building recommendation systems to play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
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Key Responsibilities
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* Design, build, and deploy scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
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* Develop user profiling models using clickstream and behavioral data.
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* Leverage AI-driven product tagging to enhance metadata quality and retrieval.
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* Analyze macro and micro fashion trends to influence product rankings.
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* Extract insights from large-scale user data and convert them into actionable models.
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* Work closely with engineers and product managers to integrate models into production.
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* Develop and monitor metrics for model performance and user engagement impact.
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Required Skills and Qualifications
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* 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
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* Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models).
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* Proficiency in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, LightFM).
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* Experience with data analysis tools such as SQL, Pandas, and Jupyter.
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* Strong grasp of personalization techniques and user segmentation strategies.
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* Solid understanding of product ranking using behavioral data and trend signals.
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* Experience working with large-scale data pipelines and A/B testing frameworks.
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* Strong communication and problem-solving skills.
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Preferred Qualifications
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* Experience in the fashion or lifestyle e-commerce domain.
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* Knowledge of modern MLops workflows and model monitoring tools.
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* Familiarity with cloud platforms (AWS, GCP) and tools like Airflow or DBT.
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* Background in NLP or computer vision for fashion tagging is a plus.
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About You
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You should have a strong background in data science, machine learning, and software development. Experience with e-commerce or consumer-tech is a plus. If you are passionate about building recommendation systems and optimizing personalized experiences, we want to hear from you!
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What We Offer
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We offer a dynamic and supportive work environment that encourages innovation and collaboration. Our team is passionate about leveraging cutting-edge technologies to transform how customers discover products. If you are excited about joining a forward-thinking company and contributing to our mission, please apply!