Data Scientist

W.W. Grainger-posted 3 months ago

$79,000 - $131,600/Yr

Full-time • Entry Level

Hybrid • Lake Forest, IL

5,001-10,000 employees

Merchant Wholesalers, Durable Goods

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The Data Scientist is responsible for building and maintaining large-scale statistical models that turn data points into insights and actions. Supports under general supervision the execution and development of data mining, queries, and bioinformatics analysis. Works objectively on algorithm development as it relates to initiatives studies, data, and product and/or other functions. This is a hybrid position that is based onsite in Lake Forest or Chicago, IL 3 days a week.

Propose and evaluate innovative solutions for analyzing, clustering, associating, and classifying data
Develop and validate algorithms via analysis, computer simulation, and prototyping
Extend analytics platform for connected devices and sensors
Write and debug 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
Help maintain large-scale analytics infrastructure, including distributed storage and computation clusters
Work cross-functionally, serve as a knowledge base, and facilitate training to research partners on the development of data science models that will drive critical business decisions
Participate in brainstorming sessions and work 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 communicate results to internal and public forums
Contribute to the development of peer-reviewed articles, events, and workshops as needed

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 language (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

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
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)
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

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