AddressWork Location Type: Onsite
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 a Principal Applied Machine Learning Scientistin Lake Forest, IL with the following requirements: Master’s degree in Data Science or related field plus 2 years related experience. Prior experience must include: Deploy pipeline using Python to process geological datasets such as Point of interest (POI) data to support natural disaster risk score prediction; Formulate internal branding strategies with Dask, Dash, and FastAPI to boost data science service adoption and enhance cross-sales across e-commerce, sales, and marketing; Build, train, and fine-tune Machine Learning and deep learning models to achieve high predictive accuracy with frameworks like XGBoost and TensorFlow while also developing an interactive measurement framework with HTML, CSS, and Plotly for tracking key performance indicators (KPIs) across sales, marketing, and supply chain functions; Spearhead and construct software development kits (SDKs) aimed at monitoring data drift and the quality of Machine Learning models using S3, DynamoDB, and open-source data validation packages with Evidently; Develop asynchronous product recommendation APIs to support customer bases in the multi-million range by orchestrating caching, load balancing, and autoscaling using Kubernetes and the Redis Serialization Protocol, all within the framework of CI/CD practices. Up to 50% remote work allowed. Please submit resume to https://jobs.grainger.com, reference job # 308380.
PERM-YC
