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Economist Data Scientist Jobs (NOW HIRING)

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.) Required Skills / Experience:

Stellantis

Data Scientist

Auburn Hills, MI

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 ...

Yum Brands

Sr. Data Scientist

Plano, TX · On-site

$117K - $132K/yr

Bachelor's degree from an accredited institution in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent relevant experience.

Jobtailor

Data Scientist

Dearborn, MO · On-site

$90 - $140/hr

Bachelor's degree in Computer Science, Economics, Analytics, Business, Strategy, Finance ... Data Modeling * Python Programming * SQL Database Language * Microsoft Excel ATS Optimization ...

New

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Bachelors degree Computer Science, Economics, Analytics, Business, Strategy, Finance, Mathematics ... data mining; be able to explain to a non-technical audience the results of your work * 3+ years of ...

ECS

Data Scientist

Springfield, VA · On-site

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

Corning

Data Scientist

Charlotte, NC

Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field * Minimum 3 years of experience applying data science ...

Pizza Hut

Sr. Data Scientist

Plano, TX · On-site

$117K - $132K/yr

Bachelor's degree from an accredited institution in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent relevant experience.

Microsoft

Principal Data Scientist - FDE

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 ...

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

... economics, and other highly quantitative disciplines, passion about data science and machine ... learning and experience with big data architecture and methods. Overall Responsibilities : * Drive ...

Corning

Data Scientist

Charlotte, NC · On-site

Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field * Minimum 3 years of experience applying data science ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 4+ years of experience in data science with proven skills in developing ...

Corning

Data Scientist

Charlotte, NC · On-site

Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field * Minimum 3 years of experience applying data science ...

Analytica

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field (Master's degree strongly preferred). * 5+ years of professional experience in data ...

Corning

Data Scientist

Charlotte, NC · On-site

Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field * Minimum 3 years of experience applying data science ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience * Coursework, academic projects ...

New

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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 Aug 19, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Avani Technology Solutions, Inc.

San Francisco, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Role: Data Scientist
Location: San Francisco, CA
Duration: 6+ Months
Team Overview:
The Digital Catalyst Team is a new enterprise team that is responsible for working collaboratively with the lines of business to implement consumer grade mobile and analytical solutions across various user groups (e.g., field users, office workers, etc.). This includes, but is not limited to:
  • Deploying best-in-class / rapid delivery capability for mobile solutions.
  • Simplifying, improving, and standardizing business work management processes for mobile needs.
  • Delivering high value analytics across all Lines of Businesses.
  • Rapid delivery of web applications.

Digital Catalyst consists of a staff of highly skilled professionals working together to produce mobile solutions following an agile methodology and design thinking. We are a "start-up" department within IT and building driven and creative mobile development team. We take the time to understand our partners' needs and translate those into solutions that delight our users. Our goal is to deliver products with intuitive user experience that will improve employees' and customer's safety, productivity and overall well-being.
Position Summary:
We are seeking an experienced Data Scientist in the Digital Catalyst Team who will provide strong execution and delivery of data science. Working as a part of the product team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role is part of a fully Agile Scrum team, so the data scientist will work alongside a product owner, technical lead, and team of developers and data engineers to support delivery of high-value analytics and software products.
Position Responsibilities:
  • Leads development of high complexity models and training sets
  • Provides hands-on execution and implementation of data science models
  • Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
  • Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
  • Performs collaborative work on data science problems and mentor junior data scientists
  • Creates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture.
  • Manages development of quantitative models and tools.
  • Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities.
  • Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Partners with leaders to drive high performance in their lines of business.
  • Develop deep understanding of business drivers and financial levers to provide strategic decision support.
  • Oversees resolution of complex projects and programs.
  • Develops and maintains up-to-date detailed project schedules and work plans.
  • Performs analysis on complex data models requiring customized reports and data and presents recommendations.

Minimum Education/Skills:
  • Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years
  • Experience in data modeling, 5yrs

Desired Education / Skills:
  • PhD in engineering or a related field (computer science, natural sciences, mathematics)
  • Experience with Python, R, Scala, SQL
  • Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
  • Experience data science notebooks (Jupyter, Zeppelin or other)
  • Experience with AWS, Azure, cloud computing technologies
  • Scrum team experience
  • Energy industry experience
  • Experience designing efficient data science workflows and database architecture for data science purposes
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics experience
  • Experience with software development methodologies and software engineering principles
  • Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
  • Knowledge of relevant programming languages - for example Visual Basic, Ladder Logic,
  • Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe - as needed to perform at the job level
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Knowledge of principles, techniques, and procedures used for production and design of technology based equipment and systems as needed to perform at the job level
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear
  • understanding of the unique needs of different audiences
  • Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

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