ZipRecruiter

Log In

1

Applied Economics Jobs in Oregon (NOW HIRING)

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Graduate Degree (Masters or PhD) in Economics or a closely related field * A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and ...

Upstart

Applied Scientist

OR · On-site +1

Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field. * 0-2 years of experience conducting ...

Upstart

Applied Scientist

OR · On-site +1

As an Applied Scientist at Upstart, you will improve existing models and develop new approaches ... Master's Degree in Mathematics, Statistics, Economics, Operations Research or a related field

next page

Showing results 1-20

All JobsApplied Economics JobsApplied Economics Jobs in Oregon

Applied Economics information

See Oregon salary details

$48.6K

$86.8K

$129.5K

How much do applied economics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied economics in Oregon is $86,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $104,100.00 per year, depending on experience, location, and employer.

What is an applied economics?

An Applied Economics job involves using economic theories, data analysis, and statistical methods to solve real-world problems in industries such as finance, healthcare, government, and consulting. Professionals in this field analyze market trends, evaluate policies, forecast economic outcomes, and provide data-driven recommendations to businesses or policymakers. These roles often require strong analytical skills, proficiency in econometrics, and expertise in using economic models to inform decision-making.

What are the typical projects or responsibilities for someone working in applied economics?

Professionals in Applied Economics often focus on projects that use data analysis and economic modeling to solve real-world problems, such as forecasting market trends, evaluating public policies, or advising businesses on strategic decisions. Day-to-day tasks might include gathering and cleaning large datasets, conducting econometric analysis, preparing reports, and presenting findings to stakeholders. Collaboration with interdisciplinary teams such as data scientists, business strategists, or policymakers is common to ensure accurate interpretation and implementation of results. This role offers excellent opportunities for career growth, as applied economists are in high demand across sectors like finance, government, consulting, and research institutions.

What are the key skills and qualifications needed to thrive in the applied economics position, and why are they important?

To thrive in Applied Economics, a strong background in economic theory, quantitative analysis, and statistical modeling is essential, typically supported by a relevant degree such as economics, mathematics, or statistics. Proficiency with statistical software tools like Stata, R, SAS, or Python, and sometimes certifications in data analysis, are highly valued. Outstanding analytical thinking, problem-solving abilities, and clear communication skills help distill complex data into actionable insights for both technical and non-technical audiences. Mastery of these skills enables professionals to provide evidence-based recommendations that drive real-world business or policy decisions.

Is an applied economics degree worth it?

An applied economics degree prepares individuals for roles such as economic analyst, policy advisor, or data analyst, often requiring strong analytical and quantitative skills. The degree can lead to careers in finance, government, or consulting, with job prospects influenced by economic conditions and additional certifications like data analysis tools. Its value depends on career goals and the ability to apply economic principles practically.

What are applied economics jobs?

Applied economics jobs involve using economic theories and data analysis to solve real-world problems in areas such as finance, public policy, healthcare, and business. These roles often require skills in statistical software, data interpretation, and economic modeling to inform decision-making and policy development.

What do you do in applied economics?

Applied economics involves analyzing real-world economic issues using data, statistical methods, and economic theories to inform decision-making. Professionals in this field often conduct research, develop models, and provide policy recommendations to solve practical problems across industries and government sectors.

What are popular job titles related to Applied Economics jobs in Oregon?

For Applied Economics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Applied Economics jobs in Oregon look for?

The top searched job categories for Applied Economics jobs in Oregon are:

Applied Economics jobs near you
Infographic showing various Applied Economics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,766 per year, or $41.7 per hour.

Senior Machine Learning Engineer, Economist

Instacart

OR • On-site, Remote

$91K - $116K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Design, develop, and deploy machine learning solutions to address economic challenges in the marketplace.

  • Collaborate with product managers, data scientists, and engineers to understand business needs and create solutions.

  • Refine and advance algorithms and models to improve operational efficiency.

Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Overview

As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists.

The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.

About the Job
  • Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace.
  • Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
  • Be an active member of the Economics team, sharing learnings, best practices, and research across domains while refining and advancing our algorithms.
About You

We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience).

Minimum Qualifications
  • Graduate Degree (Masters or PhD) in Economics or a closely related field
  • A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
  • Experience applying causal inference methodologies to both observational and experimental datasets.
  • An understanding of machine learning algorithms and techniques.
  • Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost).
  • Excellent communication skills (both verbal and written).
  • Self-motivation and a strong sense of ownership.

For Senior Machine Learning Engineer I, Economist hires, we also expect:

  • 1-3 years of industry experience in a similar position.
  • Experience putting machine learning models into production environments.
  • Experience with cloud computing and related ML infrastructure.
Preferred Qualifications
  • A PhD in Economics or a closely related field with a focus on data-intense problems.
  • Intern experience in related roles.
  • Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool.
  • Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.
 

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

View All Instacart Jobs

Apply