Data Scientist developing algorithms for personalized recommendations on Veepee's e-commerce platform. Collaborating with a team to enhance user engagement and conversion rates.
Responsibilities
Design, train, and evaluate recommender system models using state-of-the-art ML techniques.
Conduct in-depth data exploration and feature engineering to extract actionable insights.
Perform offline experiments and A/B tests to validate model impact on key business metrics.
Collaborate with ML Engineers to ensure smooth model deployment and monitoring.
Present findings and new approaches during Data Science Demos.
Requirements
Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)
Proficiency in SQL.
Foundational knowledge of Machine Learning.
Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch).
Solid understanding of statistics, evaluation metrics, and experimentation design.
Prior experience with recommender systems or e-commerce is a strong plus.
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