Job Description:
As a Senior Applied Scientist, you will play a pivotal role in the development and deployment of innovative machine learning solutions for retail pricing. This entails understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.
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Required Skills and Qualifications:
* PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field
* 5+ years of industry experience in applied Machine Learning
* Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design
* Proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch)
* Strong data engineering skills and experience working with large scale datasets
* Experience with big data tools (Apache Beam, Apache Kafka, Spark)
* Experience with cloud technologies AWS, GCP or Azure
Benefits:
The Senior Applied Scientist position offers a unique opportunity to work on challenging projects and collaborate with experienced professionals in the field. We prioritize professional growth and offer various benefits to support our team members' success.
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About Us:
We are committed to promoting an increasingly equitable culture and fostering a safe environment for all employees. Our organization values diversity and inclusivity, providing opportunities for personal and professional growth.