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Evening Amazon Data Science Jobs in Arizona (NOW HIRING)

... data science, computer science, or mathematics is required. Excellent computer skills, technical problem solving skills, flexibility in work hours, and ability to work evening and overnight shifts.

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Bachelor degree or equivalent in Computer Science * Skilled in Python object-oriented programming ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Agentic Software Engineer II

Tempe, AZ

$93K - $127K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Experience working with at least one cloud platform such as Amazon Web Services (AWS), Microsoft ...

... data science, computer science, or mathematics is required. Excellent computer skills, technical problem solving skills, flexibility in work hours, and ability to work evening and overnight shifts.

... data science, computer science, or mathematics is required. Excellent computer skills, technical problem solving skills, flexibility in work hours, and ability to work evening and overnight shifts.

Showing results 21-40

Evening Amazon Data Science information

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 are the most commonly searched types of Amazon Data Science jobs in Arizona?

The most popular types of Amazon Data Science jobs in Arizona are:

What cities in Arizona are hiring for Evening Amazon Data Science jobs?

Cities in Arizona with the most Evening Amazon Data Science job openings:

Data Center Technician (Night Shift)

Amazon

Glendale, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide.
Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States).
NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position.
Key job responsibilities
- Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services
- Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors
- Performing on-call duties and participating in scheduled maintenance and change management activities
- Contributing to documentation and process improvement initiatives based on your analysis of operational issues
- Helping to interview, train and onboard new team members
Physical Requirements:
- Lifting and moving material up to 40 pounds each
- Working in cramped and/or elevated locations
- Bending, lifting, stretching, and reaching
- Standing and walking for up to 8+ hours a day
- Ascending and descending ladders, stairs, and gangways safely and without limitation
- Work in an industrial environment
- Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts).
- This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational.
Essential Requirements:
- Ability to travel to or commute between data center locations as needed
- Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational
- Travel frequency will vary based on business needs and operational status of assigned facility
- Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs.
A day in the life
Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they:
- Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution
- Show a strong aptitude for troubleshooting and problem solving
- Solve problems at their root and step back to understand the broader context
- Maintain service level agreements through the implementation of proactive issue detection and reporting
- Are biased to act in the absence of direction or support
- Improve effectiveness through process innovation
You will be required to work shift work that will include days/nights/weekends/holidays.
BASIC QUALIFICATIONS
- 2+ years of computer/server hardware troubleshooting experience, or experience related IT
- 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience
- Work a flexible schedule including weekends, nights, and holidays
PREFERRED QUALIFICATIONS
- Knowledge of network design, protocols and troubleshooting
- Knowledge of Linux/Unix Administration
- Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles
- Experience in a data center or other critical environment
- Experience training and onboarding of new team members
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, AZ, Glendale - 30.00 - 54.00 USD hourly

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About Amazon

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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