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Evening Amazon Data Science Jobs (NOW HIRING)

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

Amazon

Data Scientist, Amazon Connect

New York, NY · On-site

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... You should be able to translate well-defined business problems into data science problems and you ...

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Showing results 21-40

All Jobsevening JobsEvening Amazon Data Science Jobs

Evening Amazon Data Science information

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$44.5K

$129.7K

$177.5K

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

As of Aug 21, 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 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.

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 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 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.

Does Amazon have an evening shift?

Amazon offers evening shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically start in the late afternoon or evening and may require flexibility in working hours. Availability of evening shifts can vary by location and department.

What cities are hiring for Evening Amazon Data Science jobs?

Cities with the most Evening 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 Evening Amazon Data Science jobs?

States with the most job openings for Evening Amazon Data Science jobs include:

Evening Amazon Data Science jobs near you
Infographic showing various Evening Amazon Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Amazon

Bellevue, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,100 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!
R2L Science & AI team sits under R2L and is a central team for all Data Science/AI related asks. We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team.
Key job responsibilities
We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team

This position is critical in helping us learn more about our data and finding opportunities to delight customers with data driven insights and machine learning models. The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.
This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models.
You will be diving deep in our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations

As part of our journey to learn about our data, some opportunities may be a dead end and you will be balancing unknowns with delivering results for our customers.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2.

Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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