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Evening Amazon Data Science Jobs (NOW HIRING)

University of Delaware

Manager, Data Science

Newark, DE · On-site

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 ...

Salesforce.Com Inc

Principal Data Engineer

Chicago, IL · On-site

The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced ... Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success ...

Datum Software, Inc.

Data Scientist

Charlotte, NC

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

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How much do evening amazon data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for evening amazon data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What is the difference between Evening Amazon Data Science vs Amazon Data Analyst?

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

What are the key skills and qualifications needed to thrive as an Evening Amazon Data Science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

What is an Evening Amazon Data Science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.

Does Amazon offer night shifts?

Amazon offers night shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically include evening and overnight hours, and employees may need to work weekends or holidays depending on the schedule. Candidates should review specific job postings for detailed shift information and requirements.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for roles like Evening Amazon Data Science. Many professionals transition into data science later in their careers, and skills such as programming, statistics, and machine learning can be developed at any age through online courses and certifications.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist, including for those starting at age 30 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and gaining practical experience. Many professionals transition into data science at various ages and find rewarding careers in the field.

How much does Amazon pay for a data scientist?

Amazon data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in machine learning and data analysis tools.
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Evening Amazon Data Science jobs near you
Data Scientist, Amazon Music - DISCO

Data Scientist, Amazon Music - DISCO

Amazon

Sunnyvale, CA • On-site

Full-time

Posted 10 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 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 M&G) 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 marketing tech, 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 customer identity, acquisition, and retention strategies for Amazon Music
Partner with Marketing and Growth leadership to develop science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs
Build predictive models - including propensity, uplift, and causal inference models - to support targeted marketing initiatives, measure incremental impact, and automate deep dives into key metric variances
Collaborate with product, engineering, and marketing teams to evaluate the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation
Analyze experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention outcomes
Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs
Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices, encouraging a culture of evidence-based decision making
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

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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

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