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Economist Data Scientist Jobs (NOW HIRING)

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

Master's degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field. * 7+ years of experience in Data Science, Data ...

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ...

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

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

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 ...

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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.

More about Economist Data Scientist jobs

What cities are hiring for Economist Data Scientist jobs?

Cities with the most Economist Data Scientist job openings:

What are the most commonly searched types of Economist Data Scientist jobs?

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States with the most job openings for Economist Data Scientist jobs include:

What are popular job titles related to Economist Data Scientist jobs?

For Economist Data Scientist jobs, the most frequently searched job titles are:

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

Clarcona, FL โ€ข On-site

Techvilla Solutions
IT Servicesย โ€ขย 51 - 200 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Masterโ€™s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.