Discover a Career in AI/ML – Pricing at Avenue Code
About the Opportunity
The Senior Applied Scientist plays a pivotal role in developing and deploying innovative machine learning solutions for retail pricing, taking into account various customer and operational business constraints and translating complex real-world problems into well-defined mathematical objectives.
Key Responsibilities
* Understanding and applying machine learning techniques to solve real-world business problems in the retail sector, especially pricing.
* Building, deploying, and managing machine learning models in production environments at scale.
* Designing and implementing effective experiment design, A/B testing, and feature engineering strategies.
Required Skills and Qualifications
To succeed in this role, you will need:
* A PhD or Master's degree in Computer Science, Machine Learning, Statistics, Operation Research or a related field.
* At least 5 years of industry experience in applied Machine Learning, with 3+ years of experience building, deploying, and managing machine learning models in production environments at scale.
* 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.
* Familiarity with big data tools (Apache Beam, Apache Kafka, Spark) and cloud technologies AWS, GCP, or Azure.
* Fluency in Python and SQL.
Benefits
We offer:
* A competitive salary and benefits package.
* Opportunities for professional growth and development.
* A collaborative and dynamic work environment.
Interview Process
The interview process will consist of a one-hour Python and SQL coding challenge. We are committed to ensuring that our hiring process is fair and equitable for all candidates.