Job Title: Senior Data Analyst - AI and Machine Learning Expert
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About the Role:
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We are seeking a highly skilled data scientist with expertise in building recommendation systems to join our team.
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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.
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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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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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