Sr. Data Scientist / Machine Learning Engineer (Chicago, IL)
Mastery Logistics Systems
1 week ago
Parse, standardize, and analyze large volumes of unstructured and semi-structured text data.
Create services to productionize machine learning models and implement numerical optimization techniques in real-time.
Design, implement, and maintain data processing pipelines in Python, Scala or Ruby.
Build cloud infrastructure necessary to process data from a wide variety of data sources utilizing Docker, Kubernetes, Terraform, Azure DevOps and orchestration tools such as Argo and Airflow.
Conduct and present exploratory data analyses to stakeholders in order to drive data strategy.
Collaborate with product managers, designers, and engineers to define requirements, formalize problems, collect data, and implement solutions.
Design, implement, and monitor experiments in order to analyze user behavior and inform application feature development.