Applied Industrial Economist

W.W. Grainger, Inc.-posted about 1 month ago

$85,300 - $142,200/Yr

Full-time • Mid Level

Hybrid • Chicago, IL

5,001-10,000 employees

Merchant Wholesalers, Durable Goods

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The Data Scientist plays a pivotal role in advancing Grainger's strategic objectives by leveraging machine learning and statistical analysis to uncover insights that drive business value and fuel bottom-line growth. As part of the Finance organization, you will generate high-quality, data-driven insights that inform critical decisions and tell compelling stories behind the numbers. You'll challenge the status quo, embrace complex problems, think big, and pursue innovative solutions that support Grainger's mission to keep our customers' operations running and their people safe. The Economic Data Scientist will deliver economic and market intelligence to guide strategic decisions and improve business operations. This includes modeling marketplace dynamics, projecting trends, and quantifying market size using advanced analytical techniques.

Work closely with the business to understand the problem space, identify the opportunities, and translate business problems into technical solutions using machine learning frameworks.
Conduct exploratory data analysis and apply deep business knowledge to customer and marketplace data to uncover new business insights.
Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations.
Create scalable, efficient, automated processes to support large scale data analyses, model development, model validation and deployment. Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, time series forecasting to build explanatory, predictive, prescriptive models appropriate for solving different business problems.
Create and present the materials necessary to effectively communicate the results of analytical work and associated recommendations.
Develop expertise on Grainger's business operations, go-to-market model, and the broader Maintenance, Repair, and Operations (MRO) market.

Bachelor's Degree in Data Science, Economics, Statistics, Mathematics, Computer Science, or other quantitative field. Required
2+ years experience in Data science, economics or statistics-related work experience. Required
Proficiency in databases such as Snowflake, Teradata, or Oracle and querying languages (e.g. SQL).
Experienced with at least one data science programming languages (e.g., Python, R) and working with structured and unstructured datasets.
Experience with machine learning techniques such as classification, clustering, dimension reduction, regression, NLP algorithms, 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.
Demonstrated ability to collaborate with business partners and colleagues.

Masters Degree in Data Science, Statistics, Mathematics, Computer Science, or other quantitative field. Preferred

With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
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.

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