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Economist Data Scientist Jobs (NOW HIRING)

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Build statistical and econometric models for various problems including: projections, clustering ...

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

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

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

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

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

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

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

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

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

Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field * 3-5 years of applied data science experience with a focus on marketing ...

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

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

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 ...

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 ...

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Economist Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do economist data scientist jobs pay per year?

As of Jul 28, 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 are the key skills and qualifications needed to thrive in the Economist Data Scientist position, and why are they important?

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.

What is an Economist Data Scientist job?

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 are the typical responsibilities of an Economist Data Scientist on a daily basis?

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.

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? The most popular types of Economist Data Scientist jobs are:
What states have the most Economist Data Scientist jobs? States with the most job openings for Economist Data Scientist jobs include:
Infographic showing various Economist Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist II, Device Economics

Data Scientist II, Device Economics

Amazon

Sunnyvale, CA • On-site

Full-time

Posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,018 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are seeking Data Scientist II with strong science application skills to join our Device Economics team. This role will focus primarily on Amazon's innovative devices and services (e.g. Echo Family of Devices), working at the intersection of economic modeling, forecasting science, and business strategy

The ideal candidate will be responsible for pre-launch forecasts, annualized overall forecasts, identifying substitution patterns, and partnering closely with product managers and marketing managers to understand the evolution of the Devices portfolio.
Key job responsibilities
Forecasting & Modeling
1. Develop and maintain pre-launch forecasts and annualized overall forecasts for Amazon Devices
2. Identify and model substitution patterns across the device portfolio
3

Build economic and financial models to support demand planning and business decisions
4. Formulate relevant analytical frameworks to address key economic issues in device forecasting
Science Communication & Collaboration
1. Explain complex science models and methodologies to non-technical stakeholders including product managers and marketing managers
2.

Collaborate with economists, data scientists, and applied scientists across Decision Science
3. Present results of analyses to cross-functional teams and leadership
4. Build trust in science models and forecast outputs with product teams
Innovation & Strategic Thinking
1.

Think creatively about ways that leading-edge analytics and emerging data sources can address Devices' most pressing business challenges
2. Help internal teams leverage analytic tools to better manage innovation
3. Conduct empirical studies and perform quantitative and qualitative research
4.

Identify opportunities to improve forecasting accuracy and business impact
Cross-Functional Partnership
1. Work closely with product managers and marketing managers to understand portfolio evolution and business strategy
2. Support DSO leadership in quarterly business reviews and strategic planning
A day in the life
Your days will be split between refining and building models and working with business leaders to interpret them.

You own science-based forecasts that can directly impact Amazon's bottom line on the order of multi-million dollar decisions.
- You will perform model refreshes or updates to analyses as needed; and,
- You will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.
About the team
The Decision Science team within DSO (Device Supply Organization) is responsible for forecasting and demand planning initiatives across Amazon Devices. The DSO team of 300+ engineers, scientists, and PMs applies quantitative methods and data-driven approaches to replace judgment-based decisions with science-driven forecasts. Decision Science focuses on lifetime demand forecasting using econometric and machine learning models for rapid reforecasting, mix adjustments, and portfolio management for new product launches

We also inform to go/no-go investment decision for new product initiatives


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US