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Senior Economics Data Science Jobs (NOW HIRING)

CoStar

Land.com - Senior Data Scientist

Austin, TX · On-site

Land.com - Senior Data Scientist CoStar Group (NASDAQ: CSGP) is a leading global provider of ... Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science ...

AECOM

Sr. Economics Consultant

Boston, MA · On-site

Proficiency with data science analytical techniques and familiarity using multiple public datasets ... Economic development, industrial policy and market transformation. Additional Information * This ...

Microsoft

Senior Finance Manager

Redmond, WA · On-site

$125K - $206.40K/yr

We are looking for a Senior Finance Manager supporting our cloud product margins and strategy ... Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related ...

AECOM

Sr. Economics Consultant

Boston, MA · On-site

Proficiency with data science analytical techniques and familiarity using multiple public datasets ... Economic development, industrial policy and market transformation. Additional Information * This ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

Microsoft is a leading company in the digital advertising industry, and they are seeking a Senior ... Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

Market Sciences Team within MSA is hiring Senior Data Scientist with expertise in the areas of ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

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How much do senior economics data science jobs pay per year?

As of May 29, 2026, the average yearly pay for senior economics data science in the United States is $107,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Economics Data Scientist, and why are they important?

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What are the typical collaboration opportunities for a Senior Economics Data Science professional within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

What are Senior Economics Data Scientists?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

Can an economist work as a data scientist?

Yes, economists can work as data scientists because both roles involve analyzing data, building models, and interpreting results. Economists often have strong skills in statistical analysis, programming languages like Python or R, and domain knowledge that are valuable in data science positions.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What cities are hiring for Senior Economics Data Science jobs? Cities with the most Senior Economics Data Science job openings:
What are the most commonly searched types of Economics Data Science jobs? The most popular types of Economics Data Science jobs are:
What states have the most Senior Economics Data Science jobs? States with the most job openings for Senior Economics Data Science jobs include:
Senior Economics Data Science jobs near you
Senior Economics Research Analyst

Senior Economics Research Analyst

DirectedLINK LLC

San Diego, CA • Hybrid

$55.56 - $86.12/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Must have five years of recent experience in applied economics and building and deploying econometric models

Title: Senior Economic Research Analyst

Employment Type: Contract

Compensation Range: $55.56 to $86.12 per hour

Location: San Diego, CA

Work Schedule: Monday–Friday, hybrid with onsite Tuesdays and Fridays, 9/80 schedule

Industry: Government / Public Sector

Company Overview

This public sector transportation and regional planning organization supports data-driven decision-making across infrastructure, mobility, financial planning, and socioeconomic forecasting. The organization operates in a cross-functional environment where economic analysis, forecasting, and modeling inform long-range planning, investment strategy, and public policy outcomes.

Position Summary

The Senior Economic Research Analyst will analyze financial, transportation, and socioeconomic data to identify trends, build predictive models, and provide strategic insight that guides decision-making. This role serves as both project manager and technical expert for research initiatives, econometric model development, forecasting, and benefit-cost analysis.

Key Responsibilities

  • Build and deploy econometric models to support transportation programs, activity-based travel model inputs, traffic and revenue studies, and regional forecasting of jobs, income, price elasticities, and infrastructure usage
  • Apply quantitative and econometric methodologies to evaluate economic, population, transportation, and financial trends
  • Leverage economic reasoning to understand regional economic and population dynamics
  • Conduct benefit-cost analyses that capture private and public benefits and costs of transportation projects in alignment with federal and state guidance
  • Interpret current and historical data to forecast future economic conditions
  • Maintain forecasting models and develop tools that support ad-hoc forecast updates and inputs from other models
  • Visualize data through tables, charts, graphs, and other formats that reveal actionable insights
  • Prepare technical reports, presentations, and analytical materials for technical and nontechnical audiences
  • Document methodologies, assumptions, data sources, and results to support transparency and replicability
  • Collaborate with finance, travel modeling, planning, data science, and other cross-functional teams

Required Qualifications

  • Advanced degree in economics, econometrics, public policy, or a related field
  • Minimum five years of recent experience in applied economics or a related field
  • Demonstrated knowledge of economic principles, modeling, and forecasting
  • Experience performing analytical work grounded in mathematical and statistical calculations
  • Experience with descriptive statistics, inferential statistics, and econometric modeling
  • Strong programming skills using R, SQL, Python, or comparable analytical tools
  • Ability to document analytical work, assumptions, and results for transparency and replicability
  • Solid working knowledge of data available from the U.S. Bureau of Labor Statistics, Bureau of Economic Analysis, California Employment Development Department, U.S. Census, and IPUMS
  • Strong written communication, presentation, and data visualization skills
  • Ability to collaborate effectively with cross-functional technical and nontechnical teams

Preferred Qualifications

  • Experience with choice modeling and panel data regressions
  • Familiarity with GIS
  • Familiarity with GitHub
  • Proficiency using IMPLAN
  • Proficiency using REMI
  • Experience supporting transportation economics, regional forecasting, infrastructure analysis, or public sector planning environments

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