Senior Pricing Strategist
About the Opportunity:
This key role is crucial in designing and implementing innovative pricing strategies leveraging machine learning techniques. The Senior Pricing Strategist (Pricing - Retail) will drive business growth by developing and deploying data-driven pricing solutions that take into account various customer and operational constraints.
Key Responsibilities:
* Develop and deploy data-driven pricing models for retail operations
* Analyze customer behavior and operational constraints to inform pricing decisions
* Collaborate with cross-functional teams to integrate pricing strategies with business objectives
Requirements:
* PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operations Research, or related field
* 5+ years of experience in applied machine learning and pricing analytics
* Proficiency in scientific libraries (numpy, pandas, polars) and machine learning frameworks (ScikitLearn, TensorFlow, Keras, PyTorch)
Preferred Requirements:
* PhD preferred in a relevant field
* Background in applying ML techniques to solve real-world business problems in the retail sector, particularly pricing
Pricing Expertise: We are looking for an expert who can develop and implement effective pricing strategies that maximize revenue while maintaining customer satisfaction.
Machine Learning Skills: Strong proficiency in machine learning libraries and frameworks is essential for this role. Experience with deep learning techniques and large-scale data processing is a plus.