Applied Machine Learning Scientist - 307719

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working® by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we’re dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results.

Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified™ company, we’re looking for passionate people to join our team as we continue leading the industry over our next 100 years.

W.W. Grainger, Inc. is seeking an Applied Machine Learning Scientist in Lake Forest, IL with the following requirements: Master’s degree in Data Science, Analytics, Statistics or related field plus 1 year related experience. Prior experience must include: Design and develop end-to-end statistical testing frameworks on cloud services for large-scale customer base, supporting testing, reporting, and abnormality detection; Develop performance-optimized statistical computation framework in Python and SQL for large-scale (TB+) data processing on 8GB nodes from scratch; Build an end-to-end LSTM pipeline on AWS, incorporating CI/CD/CT practices to test, iterate, deploy, and monitor production models; Develop automated data pipeline on AWS for retrieval and integration of Census, geographic, and project data, using Python and SQL; Oversee complete research lifecycle for machine learning models, from project scoping to designing novel algorithms; Build scalable machine learning systems on cloud services like AWS, using container technologies such as Kubernetes, Docker, and orchestration tools like Spark, Airflow for large-scale computation.  Up to 40% remote work allowed. Please submit resume to https://jobs.grainger.com, reference job # 307719 .

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We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment.  With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.