1

Weekend 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 ...

next page

Showing results 1-20

Weekend Economist Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 28, 2026, the average yearly pay for weekend 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of outcomes come from 20% of the causes or inputs. For a Weekend Economist Data Scientist, this means focusing on the most impactful data features or insights to optimize analysis and decision-making efficiently.

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

AspectWeekend Economist Data ScientistWeekend Economist Analyst
Required CredentialsDegree in Economics, Data Science, or related field; proficiency in statistical software and programming languagesDegree in Economics, Business, or related field; strong analytical skills
Work EnvironmentData-driven projects, often involving coding and statistical analysis, typically in tech or finance sectorsResearch and report writing, often in media or research organizations
Employer & Industry UsageTech companies, financial institutions, research firmsMedia outlets, research organizations, government agencies

The Weekend Economist Data Scientist focuses on analyzing large datasets using programming and statistical tools, often in tech or finance industries. In contrast, the Weekend Economist Analyst emphasizes research, reporting, and interpretation of economic data, usually within media or research organizations. Both roles require strong economics knowledge but differ in technical skills and work environment.

Is 40 too late for data science?

The Weekend Economist Data Scientist role, like many data science positions, does not have an age limit. Success depends on skills, experience, and continuous learning, and individuals can enter or transition into data science at any age with relevant training, certifications, and a strong understanding of data analysis tools such as Python or R.

Is a data scientist job still in demand?

Data scientist roles, including those for weekend economists or data analysts, remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in statistical analysis, programming, and machine learning tools like Python or R are highly valued, and the job market continues to grow as organizations seek to leverage big data for strategic insights.

Can an economist be a data scientist?

Yes, an economist can become a data scientist by developing skills in programming, statistical analysis, and machine learning. Many economists transition into data science roles by leveraging their expertise in economic modeling and data interpretation, often using tools like Python, R, and SQL. Certification in data analysis or related fields can also enhance their qualifications for such roles.
What cities are hiring for Weekend Economist Data Scientist jobs? Cities with the most Weekend 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 Weekend Economist Data Scientist jobs? States with the most job openings for Weekend 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