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Contract Amazon Data Science Jobs (NOW HIRING)

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

We're a small, fast-moving global team of engineers, data scientists, and solutions architects spanning the US and Europe with a startup-within-Amazon mentality. We ship fast, experiment boldly, and ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

We're a small, fast-moving global team of engineers, data scientists, and solutions architects spanning the US and Europe with a startup-within-Amazon mentality We ship fast, experiment boldly, and ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

We're a small, fast-moving global team of engineers, data scientists, and solutions architects spanning the US and Europe with a startup-within-Amazon mentality We ship fast, experiment boldly, and ...

Contract Key Responsibilities * Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 * Perform data collection ...

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type ... Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate ...

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Contract Amazon Data Science information

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

To thrive as a Contract Amazon Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and a relevant degree in computer science, statistics, or a related field. Experience with Python or R, SQL, AWS services, and familiarity with data visualization tools like Tableau are typically required. Effective communication, problem-solving abilities, and adaptability are essential soft skills that set candidates apart. These skills ensure you can extract actionable insights from large datasets, communicate findings clearly, and drive data-informed decisions in Amazon's fast-paced environment.

What are some common challenges faced by contract data scientists working with Amazon teams?

Contract data scientists at Amazon often need to quickly adapt to new teams and proprietary tools, while delivering insights under tight deadlines. Navigating Amazon's large-scale data infrastructure and understanding internal processes can be challenging initially. However, collaboration with cross-functional stakeholders, such as product managers and engineers, is encouraged to ensure project alignment and success. Contract roles typically offer exposure to cutting-edge projects, providing valuable experience and networking opportunities within Amazon's dynamic environment.

What are Contract Amazon Data Science jobs?

Contract Amazon Data Science jobs are temporary or project-based roles where professionals use data analysis, machine learning, and statistical techniques to support Amazon's business goals. These positions typically involve working on specific data-driven projects, such as optimizing supply chains, improving recommendation systems, or analyzing customer behavior. Contractors may be hired for a set period or until project completion, and they often collaborate with Amazon's full-time data scientists and engineers. These roles require strong technical skills in programming, data analysis, and familiarity with tools like Python, SQL, and AWS services.
More about Contract Amazon Data Science jobs
What cities are hiring for Contract Amazon Data Science jobs? Cities with the most Contract Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Contract Amazon Data Science jobs? States with the most job openings for Contract Amazon Data Science jobs include:
Infographic showing various Contract Amazon Data Science job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 88% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Data Scientist, Amazon Music - DISCO

Data Scientist, Amazon Music - DISCO

Amazon

Sunnyvale, CA • On-site

Full-time

Re-posted 2 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,968 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices.

Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
The Data, Insights, Science and Optimization, Music Product and Tech (DISCO MPT) team is looking for a Data Scientist to join a team of scientists and engineers who analyze big data, provide analytics and insights and build models and algorithms to power Music product experiences. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across product, science and finance to scale and advance our science offerings. You will lead large scale science solutions, prioritize across multiple stakeholders and projects and be part of a fast-paced, dynamic and fun environment.
Key job responsibilities
Lead the research and development of models and science products powering personalized recommendations
Partner with product leaders at Amazon Music to develop science-driven business strategies
Partner with science, marketing and product teams across Amazon Entertainment and subscription businesses
Educate internal teams on analytics, insights and measurement
Develop models to determine drivers of key performance metrics, and automate the process of deep diving into variances
Collaborate with product and engineering teams to evaluate the impact of new features or algorithms (e.g., the Playlist Song Recommendation experiments)
Analyze the results of experiments and provide recommendations to optimize solutions
Partner with Senior Data Scientists and Product Managers to analyze and propose success and guardrail metrics
Encourage the use of experimentation and advanced analytics across the organization
About the team
The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights

We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.


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