Economist Jobs
Economist jobs are open across government agencies, financial services, consulting, healthcare, and tech, from entry-level research analysts to senior and principal economists, with specializations in labor economics, macroeconomic forecasting, and quantitative policy analysis. Find a role that fits from the openings below and apply directly.
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Showing 5 of 101+ Economist jobs
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, visit www.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.
For additional information and details regarding Grainger’s benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
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 is not eligible for visa sponsorship
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
Position is not eligible for visa sponsorship
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
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, visit www.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.
For additional information and details regarding Grainger’s benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
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 is not eligible for visa sponsorship
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
Position is not eligible for visa sponsorship
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
Economist Jobs by Experience Level
See All 101+ Economist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Economist JobsEconomist Job Market
Who's Hiring
- Amazon20
- FINRA3
- Ramp2
- MITRE2
- Plaid2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Science & Research
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in economist jobs.
- Graduate degree in economics, public policy, or a closely related quantitative field
- Proficiency in econometric software such as Stata, R, or Python for data analysis
- Experience designing and interpreting regression models or causal inference methods
- Ability to translate complex quantitative findings into clear written reports or memos
- Familiarity with large administrative or survey datasets and data-cleaning workflows
- Knowledge of microeconomic or macroeconomic theory relevant to the employer's sector
Tips for Your Economist Job Search
Tailor your resume to the sector
Government economist roles weight policy relevance and regulatory experience, while private-sector postings prioritize modeling skills and business impact. Adjust your bullet points for each application so your most relevant work is front and center, not buried.
Lead with your econometric toolkit
Hiring managers scan for specific software before reading anything else. Name R, Stata, Python, or SAS explicitly in your skills section, and call out the methods you've used, such as regression discontinuity, panel data, or time-series forecasting, by name.
Apply early to roles that fit
Migrate Mate lists economist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Sharpen your writing sample strategy
Many economist roles require a writing sample alongside your resume. Choose a policy memo, research brief, or applied analysis that matches the employer's domain. A labor-economics sample won't land as well at a central bank focused on monetary policy.
Prepare a case-style take-home exercise
Federal agencies and consultancies increasingly use data exercises to screen candidates. Practice cleaning a messy dataset, running a quick regression, and presenting findings in plain language under a realistic time constraint before you reach that stage.
Negotiate using published pay scales
Federal economist positions follow General Schedule pay bands, which are publicly listed. Knowing your GS grade range before negotiating gives you a concrete anchor that private employers and agencies alike expect you to reference confidently.
Economist Jobs: Frequently Asked Questions
Which companies are hiring the most economists?
The companies hiring the most economists right now include Amazon, FINRA, and Ramp, with the largest share of openings in California, District of Columbia, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially strong in financial services, federal agencies, and economic consulting firms.
How many economist jobs are remote?
About 63% of economist openings are fully remote or hybrid as of November 2026, making it one of the more flexible professional roles. Research economist and policy analyst positions at think tanks and tech companies tend to offer the most remote flexibility, while roles at federal agencies and regional Federal Reserve banks are more likely to require on-site work.
How do you become an economist?
Most economist roles require at least a master's degree in economics or a related quantitative field, with federal government and academic positions often expecting a doctorate. Build proficiency in econometric software like Stata, R, or Python, and gain applied experience through internships, research assistantships, or thesis projects that involve real data analysis. A strong writing sample demonstrating your ability to communicate findings clearly is essential for most applications.
Can you get hired as an economist with little experience?
Entry-level economist roles do exist, particularly as research analysts or junior economists at consulting firms, government agencies, and financial institutions. Employers at this level look for demonstrated quantitative skills over prior work history. A thesis or capstone project, a published working paper, or a policy brief produced during graduate study all serve as credible substitutes for professional experience when applying.
What does the economist interview process look like?
Most economist interviews involve multiple rounds, starting with a phone or video screen focused on your background and research experience. A take-home data exercise or technical assessment typically follows, asking you to clean data, run a model, and present results. Final rounds usually include a presentation of your past research, behavioral questions, and a conversation with senior staff about how your expertise fits the team's current projects.
Where can I find and apply to economist jobs?
You can find and apply to economist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
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