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Phd In Economics Jobs in Colorado (NOW HIRING)

Clinical Value Liaison

Denver, CO · On-site

$235K - $246K/yr

... economic value of the company's therapies. The CVL serves as a trusted scientific partner for ... insights in support of internal and external activities. Requirements * MD, PhD, PharmD or ...

Showing results 41-60

Phd In Economics information

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$56

$68

$79

How much do phd in economics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for phd in economics in Colorado is $68.75, according to ZipRecruiter salary data. Most workers in this role earn between $62.69 and $74.81 per hour, depending on experience, location, and employer.

Is a PhD in economics useful?

A PhD in economics is useful for careers in academia, research, policy analysis, and high-level consulting, where advanced analytical and quantitative skills are required. It can lead to roles in government agencies, international organizations, and financial institutions, often involving data analysis, economic modeling, and policy development.

Is a PhD in economics in demand?

A PhD in economics is in demand for academic, research, and policy roles, especially in government agencies, think tanks, and universities. Economists with strong analytical skills and expertise in data analysis, econometrics, and modeling are sought after in various sectors, including finance and consulting. Job opportunities often require advanced research capabilities and a solid understanding of economic theory.

What is a PhD in Economics?

A PhD in Economics is a doctoral degree focused on advanced study and research in economic theory, econometrics, and applied economics. This program typically spans 4-6 years and involves rigorous coursework, comprehensive exams, and original research culminating in a dissertation. Graduates are trained to analyze complex economic problems, contribute to policy discussions, and advance the field through academic or industry research. Earning a PhD in Economics prepares individuals for careers in academia, government, international organizations, and the private sector.

What types of career paths are available to someone with a PhD in Economics beyond academia?

While many with a PhD in Economics pursue academic research and teaching positions, there are also diverse opportunities in government agencies, think tanks, international organizations, and the private sector. Economists are often employed in policy analysis, data science, consulting, and financial services, where their analytical and quantitative skills are highly valued. Collaborating with multidisciplinary teams is common, and positions often involve conducting complex research, presenting findings to stakeholders, and informing decision-making processes. Career advancement can lead to senior research, policy advisory, or executive roles depending on the industry.

What can I do with a PhD in economics?

A PhD in economics prepares individuals for research, teaching at the university level, and policy analysis roles in government, think tanks, or international organizations. Graduates often work as economists, data analysts, or consultants, utilizing quantitative skills, economic modeling, and statistical tools like R or Stata. Career paths may also include roles in finance, consulting, or academia.

What is the difference between Phd In Economics vs Economist?

AspectPhd In EconomicsEconomist
Required CredentialsDoctorate (PhD) in EconomicsBachelor's or Master's in Economics or related field; PhD preferred for advanced roles
Work EnvironmentAcademic, research institutions, think tanks, policy organizationsGovernment agencies, private firms, consulting, research institutions
Industry UsageAcademic research, policy analysis, teachingEconomic analysis, forecasting, policy advising, consulting

While a Phd In Economics focuses on advanced research and academic roles, an Economist applies economic principles in various industries, often with less emphasis on academic research. Both roles require strong analytical skills, but the PhD is essential for research-intensive positions, whereas Economists may have diverse educational backgrounds.

What are the key skills and qualifications needed to thrive as a PhD in Economics, and why are they important?

To thrive as a PhD in Economics, you need advanced quantitative analysis, economic theory expertise, and strong research skills, typically supported by a doctoral degree in economics or a related field. Proficiency with statistical software such as Stata, R, or MATLAB and experience with academic publishing and data management tools are highly valued. Exceptional critical thinking, effective communication, and collaborative abilities distinguish top economists in academic or industry roles. These skills are crucial for producing rigorous research, influencing policy, and effectively conveying complex economic concepts to diverse audiences.
What are popular job titles related to Phd In Economics jobs in Colorado? For Phd In Economics jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Phd In Economics jobs? Cities in Colorado with the most Phd In Economics job openings:
Infographic showing various Phd In Economics job openings in Colorado as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $143,006 per year, or $68.8 per hour.

Machine Learning Engineer (PhD Intern)

Instacart

Aurora, CO • On-site

Other

Re-posted 21 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, 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 pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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