Pricing Data Scientist Position
About the opportunity:
This role plays a crucial part in the development and deployment of innovative machine learning solutions for retail pricing that involves understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.
The ideal candidate will have a deep understanding of ML best practices, algorithms/techniques, and experiment design. Proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch) is required.
Strong data engineering skills and experience working with large-scale datasets are necessary. Familiarity with big data tools (Apache Beam, Apache Kafka, Spark) and cloud technologies (AWS, GCP or Azure) is also required. Fluency in Python, SQL is a must.
Minimum Requirements:
* PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field
* 5+ years of industry experience in applied Machine Learning, 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale
Preferred Requirements:
* PhD preferred (CS, ML, AI, Statistics, Operation Research or related field)
* Background in applying ML techniques to solve real-world business problems in the retail sector, especially pricing
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