W. W. Grainger
Data Scientist - 315748
W. W. Grainger, Lake Forest, Illinois, United States, 60045
Location:
LAKE FOREST, IL, US, 60045-5201Grainger 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.Job Description
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:Utilizing querying languages (e.g., SQL) and programming languages (e.g., Python) to facilitate streamlined analysis and decision-making.Designing and deploying automated data ingestion processes to streamline the uploading of large datasets into relational databases, leveraging database-dependent procedures, UDFs, and scripting languages.Leading research lifecycle for machine learning projects, from problem scoping to testing different algorithms (e.g., Naïve Bayes, bagging and boosting trees, SVM), and translating business problems into technical solutions using machine learning frameworks and advanced data science toolsets (e.g., Pandas, scikit-learn).Manipulating high-volume, high-dimensionality data from multiple sources, visualizing patterns, spotting anomalies, performing feature engineering and selection, and building interpretable statistical models, contributing to better decision-making and strategic planning.Building scalable machine learning workflows with the help of cloud-based services (e.g., AWS, Kubeflow) and container orchestration technologies (e.g., Docker, Airflow).Utilizing 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.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.
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LAKE FOREST, IL, US, 60045-5201Grainger 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.Job Description
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:Utilizing querying languages (e.g., SQL) and programming languages (e.g., Python) to facilitate streamlined analysis and decision-making.Designing and deploying automated data ingestion processes to streamline the uploading of large datasets into relational databases, leveraging database-dependent procedures, UDFs, and scripting languages.Leading research lifecycle for machine learning projects, from problem scoping to testing different algorithms (e.g., Naïve Bayes, bagging and boosting trees, SVM), and translating business problems into technical solutions using machine learning frameworks and advanced data science toolsets (e.g., Pandas, scikit-learn).Manipulating high-volume, high-dimensionality data from multiple sources, visualizing patterns, spotting anomalies, performing feature engineering and selection, and building interpretable statistical models, contributing to better decision-making and strategic planning.Building scalable machine learning workflows with the help of cloud-based services (e.g., AWS, Kubeflow) and container orchestration technologies (e.g., Docker, Airflow).Utilizing 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.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.
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