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Economists

19-3011.00 $116K
83
postings
Career stage: All Intern (1) Mid-level (28) Senior (53) Manager (1)
Education: All Doctorate (47)
What do these filters mean?
Career stage is read from the job title. Use it to find jobs aimed at where you are right now:
  • Intern You can apply while still in school.
  • Mid-level Typically expects internship or 2-3 years of experience.
  • Senior Established career role — usually 5+ years experience.
  • Manager Leads a team of engineers, not an early-career role.
Education is the highest degree the posting explicitly mentions. Postings that don't say are not filtered out — they appear under "All".
Economist I, POE
Amazon · Seattle, WA
Mid-level Doctorate
2026-06-03
Requirements
  • PhD in economics or equivalent
Preferred
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience in a postdoctoral position, consulting position, government position or academic research
  • Experience with SQL
View full posting on CareerOneStop → ID: 686b95d7ab1e
Economist, Pricing Science
Amazon · Seattle, WA
Mid-level Doctorate
2026-06-03
Requirements
  • PhD in economics or equivalent
Preferred
  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience in prediction and forecasting in a research or industrial environment
  • Experience with handling of large datasets
Responsibilities
  • Own the end-to-end digital pricing methodology for pricing - identification strategy, modeling choices, validation approach, and business use cases - and drive adoption across pricing contexts
  • Deliver high-stakes analyses connecting digital pricing estimates to a concrete pricing decision and strategy change at VP+ level
  • Apply advanced causal methods to live pricing problems; document approaches so the team can build on and extend them.
  • Provide causal inference guidance on pricing experiment questions as they arise - being the methodology resource when experiments generate relevant questions
  • Serve as cross-team economic advisor to Digital Finance, Customer Behavior, and Demand Science on assumptions and causal identification
  • Actively mentor junior scientists, earn trust of cross-functional tech and product partners.
  • In a typical day, you'll move between methodology work and stakeholder-facing analysis.
  • On the science side, that means reviewing identification assumptions with the Causal AS, validating estimation choices for the LTV framework, and documenting methodology decisions in ways that non-economists can act on.
  • On the applied side, you'll be in rooms with Finance, Pricing PMs, and other science teams: aligning on LTV definitions, resolving disagreements between competing metrics, and translating causal findings into recommendations that land in strategy reviews.
  • As tech lead, you need to work to develop the economists and scientists on your scrum: structured reviews, identification strategy feedback, and raising the quality of analyses before they reach stakeholders.
  • The mix shifts, but the through-line is to progress the LTV methodology from open questions to shipped frameworks, and making sure the team's causal work is rigorous enough to hold up when it counts.
View full posting on CareerOneStop → ID: 4f7e5a26c8ae
Senior Economist
Microsoft Corporation · Redmond, WA
Senior Doctorate
2026-06-03
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 1+ year(s) of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 3+ years of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 5+ years of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
Preferred
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 3+ years of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 5+ years of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics or related field AND 7+ years of experience in applied economics or data-science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • 3+ years of experience applying causal inference in real-world settings
  • Experience with quasi-experimental methods (DiD, IV, matching, regression techniques), experimentation and impact evaluation
  • Demonstrated ability to communicate complex findings to business leaders and cross-functional partners, translating technical concepts into executive-ready messages is a critical competency- Familiarity with portfolio-level or risk modeling concepts, cost modeling under uncertainty
  • Proven ability to work with messy, observational data and incomplete measurement systems
  • Experience in SaaS / cloud services / platform economics, marketplace or pricing organizations, or experimentation teams (growth, product analytics)
  • Exposure to operations, reliability, or capacity planning systems; AI-driven or automation-heavy environments - Familiarity with customer lifecycle, retention, and growth analytics.
  • Experience influencing cross-functional teams in ambiguous, fast-moving environments.
  • Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.
  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Responsibilities
  • Design and apply causal inference methods to evaluate business initiatives in non-experimental settings.
  • Identify, define, and quantify customer and business outcomes, then causally evaluate product and service offerings to determine which combinations maximize outcome attainment.
  • Build robust analytical frameworks that connect customer, commercial, and operational signals to measurable outcomes.
  • Develop cohort-level economic insights to support prioritization, investment decisions, and long-term planning.
  • Partner with data and engineering teams to define practical data requirements and improve analytical readiness.
  • Translate technical findings into clear, executive-ready recommendations.
  • Raise analytical rigor across the organization through thought partnership, review, and coaching.
  • Review analytical outputs from internal and external partners for methodological quality and clarity.
View full posting on CareerOneStop → ID: 173304fb96b1
Principal Economist
Cadmus · Olympia, WA
Senior Doctorate
2026-05-30
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 6cab463f0840
Economist I, Amazon Manager Experience - Central Science
Amazon · Seattle, WA
Manager Doctorate
2026-05-30
Requirements
  • PhD in economics or equivalent
Preferred
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience in a postdoctoral position, consulting position, government position or academic research
  • Experience with SQL
Responsibilities
  • The economists within PXTCS design and evaluate the systems that shape how Amazon's Operations workforce is hired, developed, recognized, and retained. They build predictive models, design causal experiments, and develop econometric frameworks that quantify tradeoffs and inform leadership decisions across talent programs. The team works at the intersection of mechanism design, causal inference, and applied measurement - partnering with applied scientists, product teams, and program leaders to embed science into the design of talent systems rather than evaluating them after the fact. The team also applies macroeconomic analysis and time series forecasting to anticipate workforce trends and inform long-range planning.
View full posting on CareerOneStop → ID: 4d82c52c12b2
Principal Economist, Stores Economics and Science
Amazon · Seattle, WA
Senior Doctorate
2026-05-30
Requirements
  • PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
  • 10+ years in industry, consulting, government, or academic research
  • Experience with big data and machine learning or data science
  • Coding ability in a scripting language such as R or python or STATA
Preferred
  • Experience in developing and executing an analytic vision to solve business-relevant problems.
  • Experience in building analytic or scientific data products or solutions.
  • Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
  • Applicants with considerably more and broader, experience, are also strongly encouraged.
  • Strong track record in performing high-quality analysis of data at scale.
Responsibilities
  • The ideal candidate will have extensive Economics knowledge, demonstrated strength in practical and policy relevant structural econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results.
  • They will work closely with Economists, Data / Applied Scientists, Strategy Analysts, Data Engineers, and Product leads to integrate economic insights into policy and systems production. Familiarity with systems and services that constitute seller supply chains is a plus but not required.
View full posting on CareerOneStop → ID: 30ac8e6d8c3a
Principal Economist
Cadmus · Boise, ID
Senior Doctorate
2026-05-30
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: abb850ea1d3d
Principal Economist
Cadmus · Salem, OR
Senior Doctorate
2026-05-30
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 2154165b995c
Economist
State of Montana · Helena, MT
Mid-level
2026-05-30

[Montana Department of Labor & Industry. Empowering Montanans Through Work and Opportunity. Sarah Swanson, Commissioner. Crystal Armstrong, Administrator, Workforce Services Division.] *Note: Employees for the State of Montana must reside within Montana. All applications and required application doc

View full posting on CareerOneStop → ID: 12d87efad0f0
Principal Economist
Cadmus · Helena, MT
Senior Doctorate
2026-05-30
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: eca3937ae4ec
Principal Economist
Cadmus · Portland, OR
Senior Doctorate
2026-05-29
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: cc40aa41d355
Principal Economist, AWS Economic Development
Amazon · Seattle, WA
Senior Doctorate
2026-05-28
Requirements
  • 8+ years of relevant experience in industry, consulting, government or academic experience
  • Knowledge of advanced causal modeling techniques, both in experimental and observational settings
  • Experience coding in scripting languages such as Python, R, Matlab, or STATA
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • PhD in Economics or closely related field
Preferred
  • Experience in infrastructure economics, energy economics, or regional economic development
  • Experience with tax policy analysis, including the evaluation of economic development incentives and fiscal impact modeling
  • Experience with hyper-local or community-level socioeconomic analysis
  • Understanding of the US technology and energy sectors, including electricity pricing structures, grid infrastructure economics, and the interplay between energy policy and industrial development
  • Familiarity with AI/ML downstream economic effects or cloud computing economic research
  • Experience engaging and influencing senior-level stakeholders across cross-functional teams and presenting complex analytical findings to executive audiences
Responsibilities
  • Own end-to-end development of public-facing studies on a global scale and provide economic, fiscal, labor, and market research to support infrastructure expansion and planning
  • Establish and maintain operating and business metrics to evaluate economic, social, and environmental impact across regions
  • Drive analytical excellence, analyzing and extracting insights from both structured and unstructured data to optimize and scale key research processes, including leveraging AI-powered tools
  • Partner with Legal, Finance, Tax, Compliance, Investor Relations, Public Policy, Public Relations, and Marketing teams to validate research frameworks, align on benchmarks, and frame measures of AWS investment and impact
  • Present summaries of financial and business data insights to senior leadership; create FAQs; occasionally travel to present research and support local public policy and public relations stakeholders
  • Own research vertical(s) - Lead the development and impact of an actionable body of research in at least one of the following areas: energy and water, hyper-localized socioeconomic impact, AI/ML downstream effects, or broader infrastructure
  • Provide thought leadership and mentorship within the team, helping to scale research capacity and quality across a growing global portfolio
  • You will work closely with finance, infrastructure, energy, and business development teams, as well as AWS Public Policy, Investor Relations, Public Relations, Marketing, and Sales. With AWS infrastructure as your primary customer, you will gain deep exposure to AWS's global business and operate in a highly cross-functional environment. This role is ideal for someone with intellectual curiosity, strong data skills, and a passion for applying rigorous economic methods to drive high-impact business outcomes at the intersection of finance, economics, and public policy.
View full posting on CareerOneStop → ID: d2264ae3b4f7
Senior Economist, Featured Merchant Algorithm
Amazon · Seattle, WA
Senior Doctorate
2026-05-28
Requirements
  • PhD in economics or equivalent
Preferred
  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research
View full posting on CareerOneStop → ID: 8c3898f82cca
Senior Economist, SEI Science Team
Amazon · Seattle, WA
Senior Doctorate
2026-05-28
Requirements
  • PhD in economics or equivalent
Preferred
  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value
Responsibilities
  • Own the product vision, strategy, and roadmap for a key Seller Assistant capability area.
  • Define and ship agentic experiences - reasoning, planning, memory, context engineering - that solve hard seller problems at scale.
  • Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on.
  • Design rigorous evaluation frameworks - automated and human-in-the-loop - to measure agent quality, accuracy, and business impact.
  • Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team.
  • Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality.
  • Use state-of-the-art Machine Learning and Generative AI techniques to develop the impact measurement for Seller Assistant
  • Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
  • Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
  • Establish scalable, efficient, automated A/B testing for product launches
  • Research and implement novel machine learning and statistical approaches.
View full posting on CareerOneStop → ID: def049a9271f
Economist I
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 9140ab76fb01
Economist I
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 29b05cfc1b1c
Economist I, Japan Stores Econ
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • Deep knowledge of observational causal inference methods
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 2073d1123123
Economist I, Japan Stores Econ
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • Deep knowledge of observational causal inference methods
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: b91108190a8c
Economist II
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
  • Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
  • Advanced expertise and knowledge of econometric observational causal inference models
View full posting on CareerOneStop → ID: b72d9b743146
Economist II
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
View full posting on CareerOneStop → ID: bf0b7ebf5e7a
Economist II
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
  • Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
  • Advanced expertise and knowledge of econometric observational causal inference models
View full posting on CareerOneStop → ID: 81b776a67fab
Economist II
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
View full posting on CareerOneStop → ID: d1827563ae54
Economist II
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
  • Advanced expertise and knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 29a389c40353
Economist II
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 3+ years of industry, consulting, government, or academic research experience
  • Advanced expertise and knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: be68964e2786
Economist, Japan Stores Econ
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • - Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • - Strong background in statistics methodology, applications to business problems, and/or big data.
  • - Ability to work in a fast-paced business environment.
  • - Strong research track record.
  • - Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 3bb414598e00
Economist, Japan Stores Econ
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-22
Requirements
  • PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred
  • - Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • - Strong background in statistics methodology, applications to business problems, and/or big data.
  • - Ability to work in a fast-paced business environment.
  • - Strong research track record.
  • - Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 12fc1f7df3ec
Senior Economist
Amazon · Seattle, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ years of relevant, broad research science experience after PhD degree or equivalent.
  • Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
  • Experience in developing and executing an analytic vision to solve business-relevant problems
View full posting on CareerOneStop → ID: 45bf2a6256c1
Senior Economist
Amazon · Bellevue, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ years of relevant, broad research science experience after PhD degree or equivalent.
  • Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: e981d7c84e76
Senior Economist
Amazon · Seattle, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ years of relevant, broad research science experience after PhD degree or equivalent.
  • Deep knowledge of econometric analysis of models that involve the estimation of fundamental preferences and strategic effects.
  • Experience conducting analysis of pricing, competition, labor decisions, health care outcomes, auctions, marketing strategies, advertising, contract design, and game theory.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: a9d117d2f235
Senior Economist
Amazon · Bellevue, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ years of relevant, broad research science experience after PhD degree or equivalent.
  • Deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models.
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
  • Experience in developing and executing an analytic vision to solve business-relevant problems
View full posting on CareerOneStop → ID: f7fa5d8752a5
Senior Economist
Amazon · Bellevue, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ yrs of relevant, broad research science experience after PhD degree or equivalent.
  • Advanced expertise and knowledge of applying observational causal interference methods
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: 7d5c6feb4496
Senior Economist
Amazon · Seattle, WA
Senior Doctorate
2026-05-22
Requirements
  • PhD in economics or equivalent
Preferred
  • 5+ yrs of relevant, broad research science experience after PhD degree or equivalent.
  • Advanced expertise and knowledge of applying observational causal interference methods
  • Strong background in statistics methodology, applications to business problems, and/or big data.
  • Ability to work in a fast-paced business environment.
  • Strong research track record.
  • Effective verbal and written communications skills with both economists and non-economist audiences.
View full posting on CareerOneStop → ID: bcb4c34dc1a7
Economist, GenAI Economics and Analytics
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-20
Requirements
  • PhD in economics or equivalent
  • Experience in analytics and applied economics
  • Experience working with software developers and product managers
Preferred
  • Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
Responsibilities
  • Own the development of customer and shopping-mission cohorts to understand behavior with and without Rufus engagement across the end-to-end shopping journey.
  • Identify which Rufus query types and interaction patterns drive the most customer value for specific customer cohorts and shopping missions.
  • Build predictive models to estimate customer re-engagement and long-term adoption of Rufus based on interaction quality and downstream shopping outcomes.
  • Invent, operationalize, and publish scalable metrics and dashboards that surface actionable insights, enabling data-driven product growth and executive decision-making.
  • Partner closely with Product, Engineering, and Economics teams to translate analytical insights into roadmap priorities and customer-focused improvements.
View full posting on CareerOneStop → ID: 118a8ec291d5
Principal Economist
Cadmus · Olympia, WA
Senior Doctorate
2026-05-19
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 144ad1041237
Principal Economist
Cadmus · Portland, OR
Senior Doctorate
2026-05-19
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: eabf0510992a
Principal Economist
Cadmus · Boise, ID
Senior Doctorate
2026-05-19
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 82d317608c89
Principal Economist
Cadmus · Salem, OR
Senior Doctorate
2026-05-19
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 15 to 18 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 12 to 15 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 10+ years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure.
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 1f5d8ac8ae73
Principal Economist
Cadmus · Helena, MT
Senior
2026-05-19
View full posting on CareerOneStop → ID: dd42c9c2cd5e
Senior Economist
Amazon · Seattle, WA
Senior Doctorate
2026-05-15
Requirements
  • PhD in economics or equivalent
Preferred
  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research
  • Experience managing and measuring marketing performance in various channels
  • Experience presenting to senior leadership
  • Knowledge of modern machine learning methods and their integration with econometric approaches
Responsibilities
  • Design and build a rigorous measurement framework for brand and upper-funnel marketing investment at AWS
  • Develop econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue
  • Quantify the optimal level of brand investment and the returns relative to other marketing channels
  • Connect upper-funnel brand metrics (e.g., aided/unaided awareness, consideration, salience) to downstream business outcomes including revenue and customer lifetime value
  • Apply causal inference methods suited to long-horizon, slow-moving brand effects - distinguishing these from the shorter feedback loops of performance marketing
  • Partner with marketing leaders, finance, and strategy teams to translate findings into actionable investment recommendations
  • Consult with business stakeholders to frame brand investment tradeoffs and communicate results with clarity and credibility
  • Stay current on brand measurement literature and bring best practices from academia, consulting, and industry into AWS's approach
  • Collaborate with data scientists and engineers to operationalize models and integrate brand measurement into existing marketing science products
View full posting on CareerOneStop → ID: a2524a8baa0c
Economist (Austin)
TEXAS WORKFORCE COMMISSION · Austin, TX
Mid-level
2026-05-13
View full posting on CareerOneStop → ID: 5321c47a4fe6
Economist - Senior Economic Policy Advisor
Federal Reserve Bank · Saint Louis, MO
Senior
2026-05-12
View full posting on CareerOneStop → ID: 7e15daf24a9f
Economist Intern, Stores Ads Science
Amazon · Seattle, WA
Intern Doctorate
2026-05-08
Requirements
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Knowledge of statistical or econometric modeling
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Are enrolled in a Ph.D. in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
Preferred
  • Experience with SQL, UNIX, and Spark
View full posting on CareerOneStop → ID: 1b50477905de
Sr. Economist, Pricing Science
Amazon · Seattle, WA
Senior Doctorate
2026-05-08
Requirements
  • PhD in economics or equivalent
Preferred
  • Experience in analytics and applied economics
  • Experience in developing and executing an analytic vision to solve business-relevant problems
  • Experience in building statistical models using R, Python, STATA, or a related software
  • Experience in industry, consulting, government or academic research
  • Experience with ML-adjacent causal methods (Double ML, causal forests, CATE estimation) and background in customer behavior modeling, LTV estimation, or long-run treatment effect estimation
Responsibilities
  • Own the end-to-end LTV methodology for pricing - identification strategy, modeling choices, validation approach, and business use cases - and drive adoption across pricing contexts
  • Deliver high-stakes analyses connecting LTV estimates to a concrete pricing decision and strategy change at VP+ level
  • Apply advanced causal methods to live pricing problems; document approaches so the team can build on and extend them.
  • Provide causal inference guidance on pricing experiment questions as they arise - being the methodology resource when experiments generate LTV-relevant questions
  • Serve as cross-team economic advisor to Finance, Customer Behavior, and Demand Science on LTV assumptions and causal identification
  • Actively mentor junior scientists, earn trust of cross-functional tech and product partners.
  • In a typical day, you'll move between methodology work and stakeholder-facing analysis.
  • On the science side, that means reviewing identification assumptions with the Causal AS, validating estimation choices for the LTV framework, and documenting methodology decisions in ways that non-economists can act on.
  • On the applied side, you'll be in rooms with Finance, Pricing PMs, and other science teams: aligning on LTV definitions, resolving disagreements between competing metrics, and translating causal findings into recommendations that land in strategy reviews.
  • As tech lead, you need to work to develop the economists and scientists on your scrum: structured reviews, identification strategy feedback, and raising the quality of analyses before they reach stakeholders.
  • The mix shifts, but the through-line is to progress the LTV methodology from open questions to shipped frameworks, and making sure the team's causal work is rigorous enough to hold up when it counts.
View full posting on CareerOneStop → ID: 368c156ffcba
Principal Economist
Cadmus · Olympia, WA
Senior Doctorate
2026-05-08
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 7 to 9 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 5 to 7 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 2 to 5 years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure .
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: c39e21d00bb8
Principal Economist
Cadmus · Portland, OR
Senior Doctorate
2026-05-08
Requirements
  • BA/BS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields AND 7 to 9 years of relevant professional experience OR
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 5 to 7 years relevant professional experience OR
  • PhD in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 2 to 5 years relevant professional experience.
  • Professional experience with statistical software programs such as R, Python, SAS, or Stata.
  • Familiarity with or work experience in the electricity sector and/or utility industry.
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis.
  • Excellent written and verbal communication skills.
  • Strong organizational and time-management skills with high attention to detail.
  • Initiative and ability to prioritize and take ownership of assignments, including adapting to changes in a fast-paced, time-sensitive, deliverable driven workplace.
  • Desire to grow professionally and take on challenging work assignments.
  • Strong critical thinking and analytical skills.
  • Proficient in MS Office applications, including Word and Excel.
Preferred
  • Prior consulting experience.
  • Applied research design experience in academic or professional setting.
  • Experience with Databricks and Microsoft Azure .
  • *Additional Information:
  • Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Responsibilities
  • Cadmus is seeking an experienced economist and demand response expert to join its Energy Sector team. The Energy Division at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations across the United States and around the world. The qualified candidate will manage projects, design and lead quantitative analyses, create written reports on findings, present to external audiences, and contribute to business development. They will work on a range of complex issues related to demand side management (DSM), which encompasses distributed energy resources, electrification, decarbonization, demand response, energy efficiency, flexible load resources, virtual power plants, and retail rate design.
  • Lead and guide research, primary and secondary data collection, statistical and micro-econometric data analysis, and reporting tasks to support consulting engagements with energy utility clients, including projects related to demand response, EV managed charging, distributed energy resources, battery storage and virtual power plants, industrial strategic energy efficiency, and dynamic pricing.
  • Mentor project teams in analyzing collected data. Synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
  • Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations.
  • Conduct detailed reviews of project staff's deliverables to ensure high-quality, accurate, and error-free work.
  • Proactively communicate with project team members and clients to accomplish project goals. Provide clear and consistent communications on projects and tasks and raise any concerns or issues before they become problems, provide and receive constructive feedback, and manage expectations.
  • Communicate clearly and professionally (oral and written) with colleagues and clients, in varying time zones.
  • Monitor project health including budgets, project planning, staff balancing, and resource management.
  • Develop detailed memos, reports and PowerPoint presentations of results, findings, methodologies, and data sources, and provide clear, actionable recommendations.
  • Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.
View full posting on CareerOneStop → ID: 6f3d7efc2748
Principal Economist
Cadmus · Boise, ID
Senior
2026-05-08
View full posting on CareerOneStop → ID: 29520c2101dc
Principal Economist
Cadmus · Salem, OR
Senior
2026-05-08
View full posting on CareerOneStop → ID: d031305944c8
Principal Economist
Cadmus · Helena, MT
Senior
2026-05-08
View full posting on CareerOneStop → ID: 3e275040aa12
Principal Economist
Cadmus · Cheyenne, WY
Senior
2026-05-08
View full posting on CareerOneStop → ID: 131bc0e2d4b9
Principal Economist
Cadmus · Salt Lake City, UT
Senior
2026-05-08
View full posting on CareerOneStop → ID: f4d547af6fba
Principal Economist
Cadmus · Carson City, NV
Senior
2026-05-08
View full posting on CareerOneStop → ID: 02def46c0ac1
Principal Economist
Cadmus · Bismarck, ND
Senior
2026-05-08
View full posting on CareerOneStop → ID: 614baab4866d
Principal Economist
Cadmus · Pierre, SD
Senior
2026-05-08
View full posting on CareerOneStop → ID: ab6846218514
Principal Economist
Cadmus · Phoenix, AZ
Senior
2026-05-08
View full posting on CareerOneStop → ID: 417444a4357c
Principal Economist
Cadmus · Santa Fe, NM
Senior
2026-05-08
View full posting on CareerOneStop → ID: 732a53a883f3
Principal Economist
Cadmus · Boulder, CO
Senior
2026-05-08
View full posting on CareerOneStop → ID: 976b6fd29d5d
Principal Economist
Cadmus · Denver, CO
Senior
2026-05-08
View full posting on CareerOneStop → ID: ab6b2e974319
Principal Economist
Cadmus · Lincoln, NE
Senior
2026-05-08
View full posting on CareerOneStop → ID: 6ba128c3dcfb
Principal Economist
Cadmus · Topeka, KS
Senior
2026-05-08
View full posting on CareerOneStop → ID: 85e4107b6a48
Principal Economist
Cadmus · Oklahoma City, OK
Senior
2026-05-08
View full posting on CareerOneStop → ID: 25c88ec55ca7
Principal Economist
Cadmus · Saint Paul, MN
Senior
2026-05-08
View full posting on CareerOneStop → ID: eb4dbbe19bc0
Principal Economist
Cadmus · Des Moines, IA
Senior
2026-05-08
View full posting on CareerOneStop → ID: a9caa0a5f212
Principal Economist
Cadmus · Jefferson City, MO
Senior
2026-05-08
View full posting on CareerOneStop → ID: 978a740f4d61
Principal Economist
Cadmus · Little Rock, AR
Senior
2026-05-08
View full posting on CareerOneStop → ID: 8b2af2136a9b
Principal Economist
Cadmus · Baton Rouge, LA
Senior
2026-05-08
View full posting on CareerOneStop → ID: 49abf5da1e7e
Principal Economist
Cadmus · Madison, WI
Senior
2026-05-08
View full posting on CareerOneStop → ID: 50f5354b3a07
Principal Economist
Cadmus · Springfield, IL
Senior
2026-05-08
View full posting on CareerOneStop → ID: 6030179a4155
Principal Economist
Cadmus · Jackson, MS
Senior
2026-05-08
View full posting on CareerOneStop → ID: f3b2e37e884a
Principal Economist
Cadmus · Montgomery, AL
Senior
2026-05-08
View full posting on CareerOneStop → ID: 70a260a294fd
Principal Economist
Cadmus · Nashville, TN
Senior
2026-05-08
View full posting on CareerOneStop → ID: 9533ca0563d4
Principal Economist
Cadmus · Frankfort, KY
Senior
2026-05-08
View full posting on CareerOneStop → ID: 33b336fccb93
Economist 2
State of Montana · Helena, MT
Mid-level
2026-05-06
View full posting on CareerOneStop → ID: fbb8b9bbbc65
Economist II, People Experience and Technology Central Science
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-05
Requirements
  • PhD in economics or equivalent
Preferred
  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience with handling of large datasets
Responsibilities
  • Design and conduct rigorous evaluations of benefits programs
  • Support the development and application of structural models
  • Develop experiments to evaluate the impact of benefits initiatives
  • Communicate complex findings to business stakeholders in clear, actionable terms
  • Work with engineering teams to develop scalable tools that automate and streamline evaluation processes
  • Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
View full posting on CareerOneStop → ID: de4515c65c32
Economist II, People Experience and Technology Central Science
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-05
Requirements
  • PhD in economics or equivalent
Preferred
  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience with handling of large datasets
Responsibilities
  • Design and conduct rigorous evaluations of benefits programs
  • Support the development and application of structural models
  • Develop experiments to evaluate the impact of benefits initiatives
  • Communicate complex findings to business stakeholders in clear, actionable terms
  • Work with engineering teams to develop scalable tools that automate and streamline evaluation processes
  • Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
View full posting on CareerOneStop → ID: 72582714932d
Economist, People Experience and Technology Central Science
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-05
Requirements
  • PhD in economics or equivalent
Preferred
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience in a postdoctoral position, consulting position, government position or academic research
  • Experience with SQL
Responsibilities
  • Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. * They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models.
  • They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services.
  • They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
  • The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
View full posting on CareerOneStop → ID: 8c06a0b48189
Economist, People Experience and Technology Central Science
Amazon · Bellevue, WA
Mid-level Doctorate
2026-05-05
Requirements
  • PhD in economics or equivalent
Preferred
  • Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
  • Experience in a postdoctoral position, consulting position, government position or academic research
  • Experience with SQL
Responsibilities
  • Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. * They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models.
  • They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services.
  • They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.
  • The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.
View full posting on CareerOneStop → ID: 94d66f9edc68
Principal Economist, Ads Econ
Amazon · Seattle, WA
Senior Doctorate
2026-05-02
Requirements
  • PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)
  • 10+ years in industry, consulting, government, or academic research
  • Experience with big data and machine learning or data science
  • Coding ability in a scripting language such as R or python or STATA
Preferred
  • Experience in developing and executing an analytic vision to solve business-relevant problems.
  • Experience in building analytic or scientific data products or solutions.
  • Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
  • Applicants with considerably more and broader, experience, are also strongly encouraged.
  • Strong track record in performing high-quality analysis of data at scale.
View full posting on CareerOneStop → ID: a80c419387d8
Economist, Ads Econ
Amazon · Seattle, WA
Mid-level Doctorate
2026-05-01
Requirements
  • PhD in economics or equivalent
Preferred
  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience in prediction and forecasting in a research or industrial environment
  • Experience with handling of large datasets
Responsibilities
  • Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers.
  • Influence key business and product decisions based on insights from models you develop.
  • Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
  • Work closely with software engineers on detailed requirements to productionize the models you build.
  • Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
  • Work with other scientists, software developers, and product partners to implement your solutions.
View full posting on CareerOneStop → ID: 38d453cfe9cc
Mineral Economist
AECOM · Salt Lake City, UT
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: 8118da0b6725
Mineral Economist
AECOM · Tucson, AZ
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: 917e95d529ad
Mineral Economist
AECOM · Phoenix, AZ
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: 0572fe9f2596
Mineral Economist
AECOM · Denver, CO
Mid-level
2026-04-29
View full posting on CareerOneStop → ID: 310bc2de14df
Economist, WHS Central Science
Amazon · Bellevue, WA
Mid-level
2026-02-21
View full posting on CareerOneStop → ID: d8651f2175ae
Source: CareerOneStop (U.S. DOL) · Search more jobs