About this role:
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As a seasoned data science professional, you will be instrumental in designing and deploying scalable recommendation engines that transform raw data into actionable insights. Your expertise in collaborative filtering, content-based methods, or hybrid approaches will drive personalized experiences for millions of users.
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Your key responsibilities will include:
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* Designing and building scalable recommendation systems that leverage user behavior, micro/macro fashion trends, and product metadata.
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* Developing user profiling models using clickstream and behavioral data to enhance user engagement.
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* Leveraging AI-driven product tagging to improve metadata quality and retrieval.
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* Analyzing macro and micro fashion trends to influence product rankings and drive sales.
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* Extracting insights from large-scale user data and converting them into actionable models that inform business decisions.
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* Collaborating with engineers and product managers to integrate models into production and monitor performance metrics.
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* Developing and monitoring metrics for model performance and user engagement impact.
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Required skills and qualifications:
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* At least 3 years of experience in data science, preferably in e-commerce or consumer-tech.
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* Hands-on experience building and deploying recommendation systems, including matrix factorization and deep learning-based recommenders.
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* Proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFM.
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* Experience with data analysis tools like SQL, Pandas, and Jupyter.
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* A 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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About the ideal candidate:
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* We are looking for someone with a Master's Degree in Computer Science or equivalent, and a passion for leveraging AI technologies to drive business growth.
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* Familiarity with cloud platforms such as AWS or GCP, and tools like Airflow or DBT would be an advantage.
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* Background in NLP or computer vision for fashion tagging is highly desirable.
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