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Intern Amazon Data Science Jobs in Princeton, NJ

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 ...

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 ...

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 ...

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

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 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 ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

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Intern Amazon Data Science information

See Princeton, NJ salary details

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

As of Sep 4, 2026, the average hourly pay for intern amazon data science in Princeton, NJ is $17.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.14 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 are the most commonly searched types of Amazon Data Science jobs in Princeton, NJ?

The most popular types of Amazon Data Science jobs in Princeton, NJ are:

Data Engineer, Amazon Ads

Amazon

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 2 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards


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