Senior Applied Scientist (AI/ML - Pricing)
We're seeking a seasoned Senior Applied Scientist to join our team in developing and deploying cutting-edge machine learning solutions for retail pricing.
About the Opportunity
This role plays a pivotal part in understanding various customer and operational business constraints, translating complex real-world problems into well-defined mathematical objectives, and building, deploying, and managing machine learning models in production environments at scale.
Key Responsibilities
* Design, develop, and implement innovative machine learning solutions for retail pricing
* Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
* Develop and maintain large-scale machine learning models using Python libraries and frameworks such as ScikitLearn, Tensorflow, Keras, and PyTorch
* Ensure data quality, integrity, and scalability in machine learning pipelines
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
* 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
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
* Familiarity with MLOps tools and pipelines
* Impact-focused and passionate about delivering high-quality models
* Demonstrated leadership experience, with the ability to lead and inspire a team
The ideal candidate will have a strong background in machine learning, excellent problem-solving skills, and the ability to work effectively in a team environment. If you're passionate about developing innovative solutions and driving business impact, we encourage you to apply.