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Evening Amazon Data Science Jobs in Arizona (NOW HIRING)

Amazon Robotics is seeking an AMR Fleet Performance Engineer at our Buckeye fulfillment center west ... Data science skills (Python, SQL, statistical analysis) * Understanding of mobile robot hardware ...

Data Center Manager

Avondale, AZ · On-site

$163K/yr

Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon ... in computer science, engineering, mathematics or equivalent - 2+ years of people management ...

Data Center Manager (Night Shift)

Mesa, AZ · On-site

$165K/yr

Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon ... in computer science, engineering, mathematics or equivalent - 2+ years of people management ...

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to ... Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

... Amazon Scale" - Own and operate the systems that you build based on real-time customer data ... equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

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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:

Supply Chain Manager I , Network Design, Planning & Engineering

Amazon

Tempe, AZ

Full-time

Re-posted yesterday


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

Every day, millions of packages move through Amazon's transportation network - and this team is responsible for making sure they take the smartest, fastest, most cost-effective path to the customer's door.
Network Design Planning & Engineering sits at the center of Amazon's North American transportation strategy. We plan how packages flow from fulfillment centers to final delivery destinations, balancing speed, cost, on-time accuracy, and environmental impact. Our work directly shapes the delivery experience for hundreds of millions of customers.
We're looking for a Supply Chain Manager I who is excited about turning complex data into clear, actionable insights

In this role, you'll build the network design plans along with the key metrics to drive improvements and detect opportunities that help our team and partners see what's happening across the network - aiding better decision making. You'll work alongside experienced engineers, scientists, and product managers who will support your growth while giving you real ownership of meaningful work from day one.
Key job responsibilities
- Partner with teammates across product, science, and engineering to understand what questions the business needs answered - then design and deliver the data solutions to answer them.
- Build detailed network design recommendations along with maintaining interactive AI dashboards/visualizations that track how the transportation network is performing.
- Conduct deep-dive analyses into operational performance, uncover root causes of issues, and recommend improvements backed by data.
- Proactively look for ways to make existing reports and dashboards faster, more accurate, and easier to use.
- Analyze historical trends and key lessons learned from previous experiences to surface insights that support planning and forecasting decisions.
About the team
The Network Design, Planning and Engineering (NDPE) team supports the connectivity and flow of Amazon's transportation network through data-driven insights. We are a collaborative group of supply chain managers, data scientists and data engineers who value curiosity, knowledge sharing, and building reliable, scalable solutions

Our work directly impacts how millions of packages move through Amazon's outbound network every day. We foster a learning-focused environment where team members grow through mentorship, technical reviews, and exposure to complex, large-scale data challenges.


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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US