Data Scientist

Lake Forest, IL

Full-time

Hybrid

$79K/yr - $132K/yr

Entry, Mid Level

Grainger is a leading broad line distributor serving millions of customers worldwide with innovative technology and deep customer relationships. The Data Scientist role involves building and maintaining large-scale statistical models to derive insights from data, supporting algorithm development, and collaborating with cross-functional teams to drive critical business decisions.

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Responsibilities

Propose and evaluate innovative solutions for analyzing, clustering, associating, and classifying data
Develop and validates algorithms via analysis, computer simulation, and prototyping
Extend analytics platform for connected devices and sensors
Write and debugs production code that spans the vertical from database to computational layer to web service
Work collaboratively with QA team to assist in identifying and developing a wide-range view of individual case studies. Helps maintain large-scale analytics infrastructure, including distributed storage and computation clusters
Work cross-functionally, serves as a knowledge base, and facilitates training to research partners on the development of data science models that will drive critical business decisions
Participate in brain storming sessions and works collaboratively with engineering and production teams on the development and deployment of products
Deliver insights derived from complex data analysis into simple conclusions that impact leadership to drive action and communicates results to internal and public forums; contributes to the development of peer-reviewed articles, events and workshops as needed

Qualification

Required

Bachelor's degree in Statistics, Mathematics, Computer Science, or other quantitative field
2+ years experience in specialized research, such as informatics, data collection, scientific research and research equipment
Proficiency in databases such as Teradata, Snowflake or Oracle and querying languages (e.g. SQL)
Experienced with at least one data science programming languages (e.g., Python, R, SPSS, or SAS) and working with structured and unstructured datasets
Experience with multi-variate linear regression, logistic regression, and time series modeling
Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
Experience with data visualization techniques and tools
Experience translating work into presentations (e.g. PowerPoint) suitable for non-technical audience

Preferred

Benefit

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.

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