Senior Data Scientist - 333116

W. W. Grainger; Lake Forest (IL); Hybrid; USD 103,600 - 172,600; Full time

Benefits offered by this job

Hybrid work model

Job summary

W. W. Grainger, Inc. in Lake Forest, IL is seeking a Senior Data Scientist to build and deploy advanced analytics solutions that improve operational efficiency and reduce costs.

The role requires a Bachelor’s degree in Statistics, Mathematics, Data Science, or related field plus 3 years of experience. You will design SQL queries, craft Python models, and develop Tableau dashboards for business insight. Collaborating with partners across teams, you will implement ML techniques, NLP, and

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering or related field; plus 3 years of related experience.
• Experience with SQL databases and large datasets; ability to build and run complex queries.

Responsibilities

• Build and execute complex SQL queries to pull data.
• Create Python scripts to identify patterns and generate insights.
• Develop predictive models to improve efficiency and reduce errors.
• Create dashboards in Tableau to monitor business health and respond to ad-hoc requests.
• Apply NLP to summarize notes and extract trends; present findings to management.

Skills

SQL queries

Python

R

SPSS

Tableau

NLP

AWS

ML modeling

Time series

Regression

Education

Bachelor's degree in Statistics/Mathematics/Data Science

Tools

Teradata

Snowflake

Oracle

SageMaker

Job description

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Location: LAKE FOREST, IL, US, 60045-5201

Work Location Type: Hybrid

About Grainger:

W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment,Zoro.com offers customers access to more than 14 million products, andMonotaRO.com offers more than 24 million products. For more information, visitwww.grainger.com.

W.W. Grainger, Inc. is seeking a Senior Data Scientist in Lake Forest, IL with the following requirements: Bachelor’s degree in Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering or related field plus 3 years of related experience. Will accept any level of experience in the following skills: Build and execute complex queries to pull data from SQL databases; Create python scripts to identify patterns, trends and relationships within the data; Perform exploratory and statistical analysis to generate insights for management teams; Create predictive models to improve operational efficiency, enhance cost savings and reduced human error (Python, R, SPSS); Research alternative development methodologies and make recommendations for team improvement; Build dashboards in visualization tools (Tableau) to support ad-hoc data requests and data analysis to monitor business health; Use Natural Language processing to summarize notes and gain insight into hidden trends; Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL); Knowledge of one or more of the following programming languages: Python, R, SPSS, or SAS; Proficiency with extraction and manipulation of very large structured and unstructured datasets; Proficiency with data visualization techniques; Proficiency with multi-variate linear regression, logistic regression, and time series modeling; Proficiency with clustering and dimension reduction techniques; Knowledge of classification, gradient-boosting, and natural language processing algorithms; Proficiency with statistical design of experiments, outlier detection methods, and statistical hypothesis testing; Experience leveraging cloud-based machine learning resources such as those from AWS; Proficiency with Machine Learning techniques like multi-variate linear regression, logistic regression, time series modeling, clustering and dimension reduction, classification, gradient-boosting; Demonstrated ability to translate analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences; Demonstrated ability to collaborate with business partners and colleagues. Must live within normal commuting distance of the worksite. Up to 70% remote work allowed.

Compensation: The anticipated base pay range for this position is $103,600 - $172,600 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

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