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 ...
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 ...
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 ...
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 ...
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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 ...
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 ...
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Weekend Economist Data Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do weekend economist data scientist jobs pay per year?
What is the 80 20 rule in data science?
What is the difference between Weekend Economist Data Scientist vs Weekend Economist Analyst?
| Aspect | Weekend Economist Data Scientist | Weekend Economist Analyst |
|---|---|---|
| Required Credentials | Degree in Economics, Data Science, or related field; proficiency in statistical software and programming languages | Degree in Economics, Business, or related field; strong analytical skills |
| Work Environment | Data-driven projects, often involving coding and statistical analysis, typically in tech or finance sectors | Research and report writing, often in media or research organizations |
| Employer & Industry Usage | Tech companies, financial institutions, research firms | Media 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?
Is a data scientist job still in demand?
Can an economist be a data scientist?
Amazon rating
7.4
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
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