Data Scientist - 315748

Grainger is a leading broad line distributor with operations in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Grainger Corporate Services LLC is seeking a Data Scientist in Lake Forest, IL with the following requirements: Master’s degree in Data Science, Analytics or related field plus 1 year related experience. Prior experience must include: Utilize querying languages (e.g., SQL) and programming languages (e.g., Python) to facilitate streamlined analysis and decision-making; Design and deploy automated data ingestion processes to streamline the uploading of large datasets into relational databases, leveraging database-dependent procedures, UDFs, and scripting languages; Lead research lifecycle for machine learning projects, from problem scoping to testing different algorithms (e.g., Naïve Bayes, bagging and boosting trees, SVM), and translate business problems into technical solutions using machine learning frameworks and advanced data science toolsets (e.g., Pandas, scikit-learn); Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, spot anomalies, perform feature engineering and selection, and build interpretable statistical models, contributing to better decision-making and strategic planning; Build scalable machine learning workflow with the help of cloud-based services (e.g., AWS, Kubeflow) and container orchestration technologies (e.g., Docker, Airflow); Utilize CI/CD tools and deployment best practices (e.g., Linux, shell command, Git, GitHub). Up to 90% remote work allowed from anywhere in the U.S. Please submit resume to https://jobs.grainger.com, reference job #315748.

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Grainger is an equal opportunity/affirmative action employer. We provide equal employment opportunities regardless of race, color, national origin, sex, sexual orientation, gender identity or expression, religion, age, disability status, veteran status, or any other protected characteristic. Our commitment to inclusivity includes offering reasonable accommodations during the hiring process. If you require an accommodation during interviews, please let us know and we will provide the appropriate assistance.