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Economist Data Scientist Jobs (NOW HIRING)

State Farm

Data Scientist

Tempe, AZ · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · On-site

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Richardson, TX · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... This the reason why Bunge has one of the large economic analysis teams in the industry. Our ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Aven

Data Scientist

Campbell, CA · On-site

... learning, and econometric modeling on extensive datasets to drive data-driven decisions ... Required : • 5+ years of data science experience with a track record of thought leadership and ...

Microsoft

Principal Data Scientist

Mountain View, CA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ...

City of New York

Senior Data Scientist

Manhattan, NY

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency's policy work, produces public-facing research products, provides data science and technologist support ...

Awardco

Data Scientist

Lindon, UT · On-site

Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field * 3-5 years of applied data science experience * Strong Python proficiency and ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

This the reason why Bunge has one of the large economic analysis teams in the industry. Our ... The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured ...

Bunge

Data Scientist

Chesterfield, MO · On-site

This the reason why Bunge has one of the large economic analysis teams in the industry. Our ... The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ...

Awardco

Data Scientist

Lindon, CO · On-site

Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field * 3-5 years of applied data science experience * Strong Python proficiency and ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Design and implement econometric and causal inference models to quantify the impact of vehicle ...

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Economist Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do economist data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for economist data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an economist data scientist?

An Economist Data Scientist combines economics and data science to analyze data, build models, and generate insights for decision-making. They use statistical techniques, machine learning, and economic theories to study market trends, pricing, policy impacts, and business strategies. These professionals work with large datasets, design experiments, and create predictive models to solve complex economic problems. They are commonly employed in industries such as finance, technology, government, and consulting. Strong skills in programming, econometrics, and data visualization are essential for this role.

What does an economist data scientist do?

An Economist Data Scientist typically spends their day gathering and cleaning large datasets, conducting statistical and econometric analyses, developing predictive models, and interpreting economic trends. They frequently collaborate with cross-functional teams such as business strategists, product managers, and other data scientists to provide actionable insights that guide business decisions. Presenting findings through reports and data visualizations is also a key responsibility, requiring clear communication tailored to both technical and non-technical audiences. The role involves both independent, analytical work and regular team interactions to ensure data-driven strategies are effectively integrated into company operations.

What are the key skills and qualifications needed to thrive as an economist data scientist?

To thrive as an Economist Data Scientist, you typically need a strong background in economics, statistical analysis, and data science, often supported by a degree in economics, statistics, or a related field. Familiarity with analytical tools such as R, Python, SQL, and machine learning platforms, as well as experience with data visualization software, is highly valued. Strong problem-solving skills, effective communication, and the ability to convey complex findings to non-technical stakeholders are important soft skills. These competencies are essential for translating economic data into actionable business insights and making informed decisions in data-driven environments.

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Economist Data Scientist jobs near you
Infographic showing various Economist Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Tampa, FL • Hybrid

Revenue Management Solutions
See more jobs at Revenue Management Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

THE OPPORTUNITY

As a Data Scientist, you will have the opportunity to learn and apply RMS’ methodologies to solve analytical problems critical to driving high-end business value to our clients.  This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL. 

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.


WHO YOU’LL WORK WITH

You’ll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques.  We take pride in encouraging each other’s career ambitions and you’ll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week. 

WHAT YOU’LL DO

  • Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
  • Create project plans, test various approaches, and evaluate results to answer key business questions
  • Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
  • Develop documentation outlining methodology, feature engineering and model development 
  • Engage and support internal teams to articulate processes and results 


SKILLS AND QUALIFICATIONS

  • Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
  • Hands on experience coding in Python
  • Experience working with large data sets
  • Practical experience with Git and use of repositories for source control
  • Strong interpersonal and communication skills, both verbal and written
  • Ability to effectively manage simultaneous projects and deadlines
  • Bachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required 


PREFERRED

  • Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering  

BENEFITS

as a full-time RMS Employee, you will be eligible for:

  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  •  Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE

Revenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands—representing more than 100,000 restaurants worldwide—rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.

Learn more at revenuemanage.com.

WHAT WE BELIEVE

Our goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.

Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law.