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The Business Analyst IV is responsible for managing problem resolution of high priority incidents within the Grainger Technology Group, ensuring SLAs are met, and leading root cause analysis reviews. This role entails working with cross functional teams, maintaining documentation, and executing continuous improvement activities to enhance Problem Management processes.
The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.
The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
The Senior Staff Data Engineer will lead the design and implementation of data architecture and engineering initiatives. Responsibilities include developing ETL processes, collaborating with business partners, optimizing data accessibility, and maintaining data models and warehouses to enhance analytics capabilities.
As a Senior Applied Machine Learning Scientist, you will develop Machine Learning algorithms focusing on NLP and Computer Vision, prototype solutions, and work collaboratively to enhance product capabilities with advanced AI/ML technologies.
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