Data Scientist (Economist)

Grainger; Chicago (IL); Hybrid; USD 87,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) plan with company match

Tuition reimbursement

Employee discounts

Job summary

Grainger is seeking a Data Scientist (Economist) to transform data into business insights. The role analyzes economic and internal data, builds analytical models, and collaborates with cross-functional teams to apply economic theory to real-world decisions.

You will develop statistical models, validate approaches, and communicate results to both technical and non-technical stakeholders in a hybrid work environment.

Qualifications

• Bachelor's degree in statistics, economics, mathematics, computer science or other quantitative field.
• 2+ years applying statistical analysis, economic theory, data science, quantitative research, or related analytical methods to business or technical problems.
• Knowledge of statistical modeling and analytical methods including regression, classification, clustering, time-series analysis, experimental design, hypothesis testing, model validation.
• Experience using data science programming languages such as Python, R, SPSS, or SAS and querying languages such as SQL.
• Experience working with databases/environments like Snowflake, Teradata, Oracle, or comparable platforms and applying data prep, computation, and visualization techniques.
• Ability to translate complex analytical methods and findings into clear visualizations and recommendations for stakeholders.

Responsibilities

• Develop and validate statistical models, ML algorithms, and analytical approaches for business problems.
• Analyze structured and unstructured data from multiple sources to identify patterns and translate insights into actions.
• Develop, test, and maintain data science code across databases and services with engineering collaboration.
• Evaluate data and methods using statistical techniques to ensure reliability of recommendations.
• Collaborate with business, product, engineering, and technology teams to define analytical needs and data-driven solutions.
• Communicate methods, findings and limitations via visualizations, presentations, and documentation.

Skills

Statistical analysis

Economic theory

Data science

Quantitative research

Regression

Classification

Time-series analysis

Hypothesis testing

Model validation

Data preparation

Education

Bachelor's Degree in Statistics, Economics, Mathematics, Computer Science, or other quantitative field

Tools

Python

R

SQL

SAS

SPSS

Job description

Position is not eligible for visa sponsorship

Work Location Type

Hybrid

Req Number

336141

About Grainger

W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visitwww.grainger.com.

Compensation

The anticipated base pay compensation range for this position is $87,200.00 – $145,300.00. This role is eligible for an incentive target of up to 5% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.

Rewards And Benefits

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.

Grainger Benefits

The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.

The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.

Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.

Position Details

The Data Scientist (Economist) develops and applies statistical, econometric, machine learning, and analytical methods to transform data into insights and solutions that support business decisions. The role analyzes structured and unstructured data from economic and internal sources, develops and validates analytical models and algorithms, and applies established analytical approaches and foundational economic theory to business and technical problems. The role partners with business, engineering, technology, and other cross-functional teams to translate external economy-wide events to internal context and practical solutions. The position communicates analytical findings in practical terms to help stakeholders understand results, evaluate alternatives, and take informed action.

You Will

• Develop and validate statistical models, machine learning algorithms, and analytical approaches using methods such as classification, clustering, association, regression, time-series analysis, simulation, and prototyping to address varied business problems and generate actionable insights.
• Analyze structured and unstructured data from multiple sources using data science programming languages, querying tools, and analytical techniques to identify patterns, test hypotheses, evaluate alternatives, and translate complex information into business-relevant conclusions.
• Develop, test, and maintain data science code and analytical solutions across database, computational, and service layers, partnering with engineering and technology teams to support reliable implementation and integration into business processes and products.
• Evaluate data, analytical methods, model performance, and solution results using appropriate statistical techniques, experimental design, outlier detection, hypothesis testing, and validation methods to support the quality and reliability of analytical recommendations.
• Partner with business, product, engineering, technology, quality, and other stakeholders to define analytical needs, interpret business questions, recommend data science approaches, and contribute data-driven perspectives to the development and improvement of solutions.
• Communicate analytical methods, findings, limitations, and recommendations through visualizations, presentations, documentation, and knowledge sharing that translate complex technical concepts for technical and non-technical audiences and support informed business decisions.

You Have

• Bachelor's Degree Statistics, Economics, Mathematics, Computer Science, or other quantitative field.
• 2+ years Applying statistical analysis, economic theory, data science, quantitative research, or related analytical methods to business or technical problems. required
• Knowledge of statistical modeling and analytical methods, including regression, classification, clustering, time-series analysis, experimental design, hypothesis testing, model validation, and related quantitative techniques.
• Experience using data science programming languages such as Python, R, SPSS, or SAS and querying languages such as SQL to analyze structured and unstructured datasets and develop analytical solutions.
• Experience working with databases and analytical data environments such as Snowflake, Teradata, Oracle, or comparable platforms and applying data preparation, computational, and visualization techniques to analytical work.
• Experience translating complex analytical methods and findings into clear visualizations, presentations, documentation, and recommendations for technical and non-technical stakeholders.
• Familiarity with common sources for economic statistics, including government statistical agencies
• A self-starter mentality and interest in economic and marketplace dynamics

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.

We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

Position is not eligible for visa sponsorship