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Economics Data Science Jobs (NOW HIRING)

Revenue Management Solutions

Data Scientist

Tampa, FL · On-site

Description THE OPPORTUNITY As a Data Scientist, you will have the opportunity to learn and apply ... Bachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a ...

Vangard, Inc.

Manager, Data Science

Malvern, PA · On-site

It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Vanguard Group, Inc.

Manager, Data Science

Malvern, PA · On-site

It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Vangard, Inc.

Manager, Data Science

Dallas, TX · On-site

It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

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 ...

Paramount

Senior Director, Data Science

Manhattan, NY · On-site

Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or Computer Science). * 10+ years in data science/analytics. This covers hands-on and team-leading work. It spans ...

Paramount

Senior Director, Data Science

Manhattan, NY · On-site

Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or Computer Science). * 10+ years in data science/analytics. This covers hands-on and team-leading work. It spans ...

Totalwine

Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience * Master's Degree Data Science, Computer Science ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

Required : • Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience • 7-10 years Experience in data ...

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How much do economics data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for economics data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

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What cities are hiring for Economics Data Science jobs?

Cities with the most Economics Data Science job openings:

What are the most commonly searched types of Economics Data Science jobs?

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What states have the most Economics Data Science jobs?

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Economics Data Science jobs near you
Infographic showing various Economics Data Science 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 $142,460 per year, or $68.5 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.

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