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The Machine Learning Engineer II will develop and improve machine learning solutions for inventory optimization, work with data scientists to enhance analytics capabilities, automate system operations, design ETL pipelines, and create applications for stakeholder interaction with ML systems.
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.
The Lead Security Analyst will drive compliance with global Business Continuity and Disaster Recovery management activities. Responsibilities include assessing processes, guiding compliance, maturing the BCM framework, establishing metrics, mentoring team members, and conducting training and testing exercises to ensure continuous improvement and adherence to best practices.
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