Machine Learning Solutions for Retail Pricing
Avenue Code is a leading software consultancy that delivers end-to-end development solutions for digital transformation across every vertical. We care deeply about our clients, partners, and people.
The Senior Applied Scientist plays a crucial role in developing and deploying innovative machine learning solutions for retail pricing that includes understanding various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.
To succeed in this position, you should have a 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.
You will also need proficiency with scientific libraries in Python (numpy, pandas, polars) and Machine Learning tools and frameworks (ScikitLearn, Tensorflow, Keras, PyTorch).
We prefer candidates with PhDs or Masters degrees in Computer Science, Machine Learning, Statistics, Operation Research or related fields and at least 5 years of industry experience in applied Machine Learning.
In addition to technical skills, we value strong data engineering skills and experience working with large scale datasets as well as experience with big data tools (Apache Beam, Apache Kafka, Spark) and cloud technologies AWS, GCP or Azure.
Fluency in Python and SQL is required for this position.
This is an opportunity to work on high-impact projects and collaborate with experienced professionals in the field.
Interview : one-hour Python and SQL coding challenge.