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Amazon Data Science Jobs in New York (NOW HIRING)

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

$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 ...

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 ...

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 ...

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 ...

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... analytics, Amazon Marketing Cloud, etc.) Adhere to set deadlines and ensure high quality work ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... analytics, Amazon Marketing Cloud, etc.) Adhere to set deadlines and ensure high quality work ...

AMAZON WEB SERVICES, INC. Offered Position: Data Scientist III Job Location: Jersey City, New Jersey Job Number: AMZ9971193 Position Responsibilities: Own the data science elements of various ...

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Showing results 1-20

Amazon Data Science information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do amazon data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for amazon data science in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

What are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

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

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

What cities in New York are hiring for Amazon Data Science jobs?

Cities in New York with the most Amazon Data Science job openings:

Infographic showing various Amazon Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Data Engineer, Amazon Ads

Amazon

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 18 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th 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


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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