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Intern Amazon Data Science Jobs (NOW HIRING)

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$50/hr

As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business ...

Unchain Data

$50/hr

As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

CIM Group, LP

Data Science Intern

Los Angeles, CA · On-site

The Data Science Intern will contribute to real-world projects at the intersection of business, economics, and data science. As part of the Enterprise Data Management team, the intern will support ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested ...

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Intern Amazon Data Science information

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How much do intern amazon data science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for intern amazon data science in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Intern Amazon Data Science vs Intern Amazon Software Development Engineer?

AspectIntern Amazon Data ScienceIntern Amazon Software Development Engineer
Required SkillsData analysis, statistical modeling, machine learning, programming in Python/RSoftware development, coding in Java/C++, system design
Work EnvironmentData analysis projects, modeling, researchApplication development, coding, debugging
Common UsageData-driven decision making, predictive modelingBuilding and maintaining software systems

Intern Amazon Data Science focuses on analyzing data, building models, and deriving insights, while Intern Amazon Software Development Engineer emphasizes coding, developing, and maintaining software applications. Both roles require programming skills but differ in their core tasks and project focus.

What cities are hiring for Intern Amazon Data Science jobs?

Cities with the most Intern Amazon Data Science job openings:

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

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Intern Amazon Data Science jobs near you

Data Scientist, LM Planning, LM Science & Analytics Automation

Bellevue, WA • On-site

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

Full-time

Posted 25 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,182 frontline employees who took The Breakroom Quiz

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.

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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