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Phd In Management Jobs in Oregon (NOW HIRING)

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Collaborate closely with product managers, data scientists, and other engineers to deeply ... Graduate Degree (Masters or PhD) in Economics or a closely related field * A blend of economic ...

New

ClickHouse

Incident Response Security Engineer

OR · On-site +1

Develop processes, tooling and automation to scale incident management response and mitigate risks ... PhD in Computer Science or related field * Previous contributions to open source projects

Nvidia

Manager, GPU Accelerated Data Analytics

OR · On-site +1

... management, and successful initiative implementation. Advocate for next-generation hardware and ... An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused ...

New

Intel

Yield Development Engineer

Hillsboro, OR · On-site

PhD in Engineering, Physical Sciences, Computer Science, or a related field. * 1+ years of ... Strong project management skills with demonstrated self-initiative and ability to drive strategic ...

ASM

Principal Field Process Engineer

Hillsboro, OR · On-site

M.S. or PhD in Chemistry, Chemical Engineering, Materials Science, Physics, or related field. * 7 ... Proven ability to independently design experiments, manage escalations, and influence without ...

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Phd In Management information

See Oregon salary details

$57.1K

$163.7K

$258K

How much do phd in management jobs pay per year?

As of Aug 30, 2026, the average yearly pay for phd in management in Oregon is $163,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $200,400.00 per year, depending on experience, location, and employer.

What is the difference between Phd In Management vs Management Consultant?

AspectPhd In ManagementManagement Consultant
Required CredentialsDoctorate degree in management or related fieldBachelor's or Master's degree, often with business or management focus
Work EnvironmentAcademic, research, or teaching settingsCorporate, consulting firms, client sites
Industry UsageHigher education, research institutions, think tanksBusiness, finance, healthcare, technology
Common Search/ComparisonAcademic career, research rolesBusiness strategy, problem-solving

The Phd In Management is primarily an academic qualification preparing individuals for research and teaching roles, while Management Consultants focus on advising organizations to improve performance. Although both roles involve management knowledge, their work environments and career paths differ significantly.

Is a PhD in Management worth it?

A PhD in Management prepares individuals for academic, research, and high-level consulting roles, often requiring strong analytical and research skills. While it can lead to advanced positions and higher salaries, it involves significant time and financial investment, and job prospects outside academia may be competitive. The value depends on career goals and the demand for specialized management expertise.

What can you do with a PhD in Management?

A PhD in Management prepares individuals for careers in academia, research, consulting, and leadership roles in various organizations. Graduates often work as university professors, organizational researchers, or strategic consultants, utilizing skills in analysis, data interpretation, and leadership. The degree also enables expertise in areas like organizational behavior, strategic management, and business analytics.

Which PhD in management is most in demand?

The most in-demand PhD in management typically focuses on areas such as organizational behavior, strategic management, and data analytics, with expertise in quantitative methods and research skills highly valued. Graduates with specializations in technology management or innovation are increasingly sought after due to evolving business needs.

What job categories do people searching Phd In Management jobs in Oregon look for?

The top searched job categories for Phd In Management jobs in Oregon are:

Phd In Management jobs near you
Infographic showing various Phd In Management job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $163,745 per year, or $78.7 per hour.

Senior Machine Learning Engineer, Economist

OR • On-site, Remote

Instacart
Technology, Communication and Media • 10K+ employees

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

People enjoy working here

Recommended by students

Recommended by parents

Learn more about Instacartexternal

$91K - $116K/yr

Full-time

Posted 2 days ago

New

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

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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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Benefits

Hours and flexibility

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