Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing ...
New
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Evening Amazon Data Science information
See Seattle, WA salary details
$50.6K - $64.4K
0% of jobs
$64.4K - $78.2K
1% of jobs
$78.2K - $91.9K
3% of jobs
$91.9K - $105.7K
4% of jobs
$105.7K - $119.4K
7% of jobs
$131.5K is the 25th percentile. Wages below this are outliers.
$119.4K - $133.2K
11% of jobs
$133.2K - $147K
12% of jobs
The median wage is $150.6K / yr.
$147K - $160.7K
45% of jobs
$160.7K - $174.5K
8% of jobs
$174.5K - $188.2K
5% of jobs
$188.2K - $202K
3% of jobs
$50.6K
$147.6K
$202K
How much do evening amazon data science jobs pay per year?
As of Aug 24, 2026, the average yearly pay for evening amazon data science in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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?
| Aspect | Evening Amazon Data Science | Amazon Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/R | Bachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL |
| Work Environment | Focus on developing models, algorithms, and advanced analytics during evening shifts | Data reporting, visualization, and supporting business decisions, often during regular hours |
| Employer & Industry Usage | Used in tech and e-commerce sectors for machine learning and predictive modeling | Common 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 Seattle, WA?
The most popular types of Amazon Data Science jobs in Seattle, WA are:
Full-time
Posted 3 days ago
New
Amazon rating
7.4
Based on 7,115 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Have you wondered at the speed at which your Amazon purchase arrived at your door, in that box with a smile. wondered where it came from and how much it cost Amazon to deliver it to you?
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing cost to serve and increase speed.
You will partner with the Scientific community to help design optimization and strategy
You will also collaborate with technical teams developing automated tools for network flow and execution systems. You will work directly with business leadership and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, translating technical contents to business friendly narrative
Ability to influence across business functions at different levels, including your own team.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with data, science, business and technical teams.
Key job responsibilities
-Design and develop mathematical, statistical and optimization models to optimize Delivery Network Topology design..
-Manage several, high impact projects simultaneously
-Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize Delivery Network Topology
-Communicate data-driven insights and recommendations to diverse stakeholders through technical and/or business papers
-Leverage LLMs to improve explainability of optimization and drive engagement from volume planning, demand planning stakeholders
-Define measurement frameworks for optimization solutions where no prior art exists and own the scientific framework for 'Topology Plans' multi-contact journey
-Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs. Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and cost
- Design driver-analysis and bridging methods explaining KPI movement (WoW, MoM, YoY, vs OP2) across dimensions for "why"
- Partner with teams in productionizing; Own AWS tech stack compliancy (Shepherd risk, App Security red-certification, Kale, Legal, Threat Models, for scientific assets)
- Mentor team members; provide promotion assessments; contribute hiring at DS II and DS III
Represent LM Planning in the broader Amazon Data Science community
- Produce design and technical documentation
A day in the life
Review current solutions, assumptions and question the status quo to find improvements.
Drive technical partners adopt improvements, to increase coding velocity, accuracy, quality of scientific solutions. Research for reusable tools/techniques and translate adopting to
About the team
Last Mile is the final mile of Amazon purchase.
We- LM Strategic Planning 'design and plan the Delivery Station Network'. LM network continues to grow multi-fold in North America, AMET, Emerging Market countries, delivering better customer experience and speed to customers. This growth will help Amazon gain most of distribution network share, in every country across the world.
LM Strategic Planning-Science Analytics & Automation provides foundational solutions for network expansion roadmap that looks a 1-5 years horizon.
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