Transformative Pricing Solutions
Avenue Code seeks a highly skilled Senior Applied Scientist to spearhead the development and deployment of innovative machine learning solutions for retail pricing. This critical role involves understanding complex customer and operational business constraints, translating real-world problems into well-defined mathematical objectives, and leveraging expertise in applied machine learning to drive business outcomes.
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Requirements:
* PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operations Research, or related field
* 5+ years of industry experience in applied Machine Learning, with 3+ years in building, deploying, and managing machine learning and deep learning models in production environments at scale
* 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
* Fluency in Python, SQL
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What We Offer:
* A collaborative environment that fosters professional growth and development
* The opportunity to work on cutting-edge projects and drive business impact
* A comprehensive benefits package
* The chance to be part of a team that values diversity, equity, and inclusion
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Interview Process:
A one-hour Python and SQL coding challenge will be administered during the interview process.
We are committed to maintaining the confidentiality and integrity of candidate data, adhering to global data protection laws such as GDPR, CCPA, and CPRA.