Senior Data Scientist - 333116

Grainger Businesses • Lake Forest, IL

19h • $103,600 - $172,600 • Hybrid

About The Position

W.W. Grainger, Inc., is seeking a Senior Data Scientist in Lake Forest, IL. This role involves building and executing complex queries, creating Python scripts for data analysis, performing exploratory and statistical analysis, creating predictive models, researching development methodologies, building dashboards, using Natural Language Processing, and collaborating with business partners. The position requires proficiency in databases, querying languages, programming languages, data manipulation, visualization, various statistical and machine learning techniques, and translating analytical work for non-technical audiences. Up to 70% remote work is allowed.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering or related field
• 3 years of related experience
• 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.

Responsibilities

• 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
• 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

Benefits

• 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.
• Rewards and Benefits: To learn about Grainger’s benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

What This Job Offers

• Job Type: Full-time
• Career Level: Senior