Data Scientist Expert

As a Data Scientist at Weekday's client, your role involves utilizing your expertise in Customer, Growth & Commerce Intelligence, Monetization, Pricing & Promotions, Supply Chain, Planning & Availability, Store, Operations & Physical Retail Intelligence, and Platform, Automation & Next-Generation AI. Your key responsibilities include: - Customer, Growth & Commerce Intelligence: - Conducting search, ranking, recommendations, and personalization - Profiling customers, segmentation, LTV analysis, churn analysis, and loyalty programs - Optimizing acquisition, engagement, retention, and customer lifecycle - Evaluating marketing effectiveness, attribution, uplift, and experimentation - Monetization, Pricing & Promotions: - Implementing dynamic pricing strategies and markdown optimization - Assessing promotion effectiveness and personalizing offers - Monitoring ad relevance, bidding intelligence, and performance - Optimizing margins and revenue intelligence - Supply Chain, Planning & Availability: - Performing large-scale demand planning and forecasting - Managing inventory, replenishment, and allocation optimization - Planning network operations, sales & fulfillment intelligence - Improving product availability, selection depth, and service levels - Store, Operations & Physical Retail Intelligence: - Enhancing store efficiency, labor optimization, and compliance - Analyzing planogram effectiveness and assortment - Utilizing intelligence from computer vision, video, and sensor data - Preventing shrinkage, fraud, and loss - Platform, Automation & Next-Generation AI: - Integrating intelligent decision engines into workflows - Implementing automated planning, execution, and monitoring systems - Utilizing modeling based on causal inference, simulations, and digital twins - Developing reusable machine learning platforms, feature stores, and inference systems Qualifications required for this role: - Experience of 1+ years in Retail recommendations - Good-to-have skills in PyTorch, TensorFlow, XGBoost If you are keen on contributing to a dynamic team and utilizing your expertise in data science for retail intelligence, this role at Weekday's client could be an exciting opportunity for you. As a Data Scientist at Weekday's client, your role involves utilizing your expertise in Customer, Growth & Commerce Intelligence, Monetization, Pricing & Promotions, Supply Chain, Planning & Availability, Store, Operations & Physical Retail Intelligence, and Platform, Automation & Next-Generation AI. Your key responsibilities include: - Customer, Growth & Commerce Intelligence: - Conducting search, ranking, recommendations, and personalization - Profiling customers, segmentation, LTV analysis, churn analysis, and loyalty programs - Optimizing acquisition, engagement, retention, and customer lifecycle - Evaluating marketing effectiveness, attribution, uplift, and experimentation - Monetization, Pricing & Promotions: - Implementing dynamic pricing strategies and markdown optimization - Assessing promotion effectiveness and personalizing offers - Monitoring ad relevance, bidding intelligence, and performance - Optimizing margins and revenue intelligence - Supply Chain, Planning & Availability: - Performing large-scale demand planning and forecasting - Managing inventory, replenishment, and allocation optimization - Planning network operations, sales & fulfillment intelligence - Improving product availability, selection depth, and service levels - Store, Operations & Physical Retail Intelligence: - Enhancing store efficiency, labor optimization, and compliance - Analyzing planogram effectiveness and assortment - Utilizing intelligence from computer vision, video, and sensor data - Preventing shrinkage, fraud, and loss - Platform, Automation & Next-Generation AI: - Integrating intelligent decision engines into workflows - Implementing automated planning, execution, and monitoring systems - Utilizing modeling based on causal inference, simulations, and digital twins - Developing reusable machine learning platforms, feature stores, and inference systems Qualifications required for this role: - Experience of 1+ years in Retail recommendations - Good-to-have skills in PyTorch, TensorFlow, XGBoost If you are keen on contributing to a dynamic team and utilizing your expertise in data science for retail intelligence, this role at Weekday's client could be an exciting opportunity for you.