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Manager Economist Data Scientist Jobs (NOW HIRING)

We deliver strategic workforce solutions that help you manage your talent and business more ... Build statistical and econometric models for various problems including: projections, clustering ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics ... teams and immediate management. Cushman & Wakefield also provides eligible employees with an ...

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ... Strong project management and organizational skills

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

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 ...

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Data Scientist

Deerfield, IL · On-site

$98K - $157K/yr

Interacts with internal and external peers and/or managers to exchange semi-complex information ... Graduate degree in statistics, economics, data science, applied mathematics, computer science ...

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Manager Economist Data Scientist information

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How much do manager economist data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for manager 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 Manager Economist Data Scientists?

Manager Economist Data Scientists are professionals who combine expertise in data science, economics, and management. They lead teams that analyze data to provide economic insights, create predictive models, and inform business decisions. These professionals often oversee projects involving large datasets, apply economic theories, and use advanced analytics to solve organizational problems. Their role requires strong leadership, technical skills, and the ability to communicate complex findings to stakeholders.

How do Manager Economist Data Scientists typically balance technical data analysis with team leadership responsibilities?

Manager Economist Data Scientists often split their time between hands-on data analysis—such as building economic models and conducting statistical research—and managerial tasks like mentoring team members, overseeing project progress, and aligning data strategy with business goals. Effective communication is key, as the role requires translating complex analytical findings for stakeholders and collaborating across departments. Time management and delegation are crucial to ensure both technical depth and strong leadership within the team.

What is the difference between Manager Economist Data Scientist vs Data Analyst?

AspectManager Economist Data ScientistData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fields; advanced statistical and programming skillsBachelor's degree in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentStrategic roles in corporate, finance, or government sectors; involved in high-level decision-makingOperational roles; focus on data collection, cleaning, and basic analysis
Employer & Industry UsageFinancial institutions, consulting firms, government agenciesRetail, marketing, healthcare, and other industries requiring data reporting

The Manager Economist Data Scientist typically holds advanced degrees and works on complex modeling and strategic analysis, whereas Data Analysts focus on data processing and reporting. Both roles are essential in data-driven organizations but differ in scope and expertise level.

What are the key skills and qualifications needed to thrive as a Manager Economist Data Scientist, and why are they important?

Success as a Manager Economist Data Scientist requires a strong background in economics, statistical modeling, data analysis, and typically a master's or Ph.D. in a quantitative field. Expertise with programming languages like Python or R, machine learning frameworks, and data visualization tools is highly valuable, along with familiarity with big data platforms. Leadership, strategic thinking, and effective communication are crucial soft skills for guiding teams and translating complex findings to stakeholders. These competencies ensure impactful data-driven decisions, clear direction for teams, and alignment with organizational goals.
What cities are hiring for Manager Economist Data Scientist jobs? Cities with the most Manager 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 Manager Economist Data Scientist jobs? States with the most job openings for Manager Economist Data Scientist jobs include:
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