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Economics Data Science Jobs in Oregon (NOW HIRING)

Instacart

Senior Data Scientist

OR · On-site +1

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles ...

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

We are looking for a Staff Data Scientist to help set the strategic direction for XP, elevate the ... Qualifications Advanced degree (PhD or Masters) in Computer Science, Statistics, Economics, Applied ...

New

Nextdoor

Data Scientist - Search

OR · On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

YipitData

Data Scientist, Corporate

OR · On-site +1

Experience: 4-5 years of professional data science experience. 2-3 years of experience with an advanced degree. * Education: Bachelor's degree in a highly quantitative field (Statistics, Economics ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

Experience: 4-5 years of professional data science experience. 2-3 years of experience with an advanced degree. * Education: Bachelor's degree in a highly quantitative field (Statistics, Economics ...

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All JobsEconomics Data Science JobsEconomics Data Science Jobs in Oregon

Economics Data Science information

See Oregon salary details

$43.9K

$150.6K

$212.5K

How much do economics data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for economics data science in Oregon is $150,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $176,000.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

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

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Economics Data Science jobs in Oregon?

The most popular types of Economics Data Science jobs in Oregon are:

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

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

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

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

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $150,621 per year, or $72.4 per hour.

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 15 days ago

Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies

Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#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

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